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Speaker 1: Welcome to today's edition of the Clay Travis and buck

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Speaker 1: Sexton Show podcast. Welcome in Wednesday edition Clay Travis buck

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Speaker 1: Sexton Show. Buckle up, We're going to have a fun ride.

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Speaker 1: Buck Sexton still on vacation. He'll be back with me Tuesday.

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Speaker 1: I've got you guys solo today, Tomorrow and Friday, as

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Speaker 1: I've had you Monday and Tuesday as well. We got

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Speaker 1: some awesome guests for you. Let me give you a

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Speaker 1: little bit of a rundown of where we're headed. Nate Silver,

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Speaker 1: who has got a book out, does a regular election forecast.

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Speaker 1: He is going to be on with us a little

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Speaker 1: bit after one o'clock at one thirty, and I'm going

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Speaker 1: to talk about this more today because I still believe

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Speaker 1: it's a huge, monstrous story that most people are pretending

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Speaker 1: does not exist on the left and in much of

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Speaker 1: quote unquote mainstream media. Congressman Jim Jordan will be on

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Speaker 1: with us. It was a letter to Jim Jordan from

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Speaker 1: Mark Zuckerberg, CEO of Meta slash Facebook, that exploded yesterday.

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Speaker 1: I guess it was two days ago in the evening,

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Speaker 1: but yesterday we discussed it a great deal. Well, a

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Speaker 1: lot of you had questions. I appreciate all the emails

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Speaker 1: and all the feedback on our discussion. I'm not going

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Speaker 1: to let this story go away. We'll talk about it

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Speaker 1: more today with him, great guy from Ohio. He's on regularly.

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Speaker 1: And then in the third hour of the program. A

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Speaker 1: lot of you watch Greg Guttfeld in the evening to

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Speaker 1: have some laughs on Fox News regular panelists there, Kat

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Speaker 1: temp bestselling author. She has got a brand new book

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Speaker 1: out that producer Ali has read and loved it. And

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Speaker 1: my mother in law was in the house for the

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Speaker 1: past three or four days. And we are fortunate we

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Speaker 1: get a lot of books sent to the house from

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Speaker 1: authors that are either going to be on the show

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Speaker 1: or they're hoping that we'll talk about their new release.

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Speaker 1: And I had Kat's new book sitting on the counter

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Speaker 1: in the house and my mother in law picked it up,

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Speaker 1: started reading it and asked if she could keep it

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Speaker 1: and take it home to finish it. So there are

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Speaker 1: two endorsements. I haven't read a word of it, to

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Speaker 1: be fair. I have read Nate Silver's new book, which

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Speaker 1: deals a lot with poker with elections, with basically how

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Speaker 1: to apply lessons of life from a probabilistic perspective to

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Speaker 1: a wide variety of disciplines. I think you're really going

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Speaker 1: to enjoy that discussion that we're going to have. I've

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Speaker 1: read that book. It just came out very good. And

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Speaker 1: I like The Signal and the Noise, which is another

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Speaker 1: book by Nate Silver. We will talk with all three

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Speaker 1: of those guys and gals. I think you will enjoy it.

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Speaker 1: But I want to start with what we talked about yesterday,

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Speaker 1: So a couple of new stories that we're going to

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Speaker 1: be diving into today. Kamala Harris has finally agreed to

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Speaker 1: sit for an interview, but she's going to be accompanied

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Speaker 1: by Tim Walls. It's going to be taped, and it

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Speaker 1: is going to air on CNN with Dana Bash as

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Speaker 1: the inquisitor as the interviewer. This is crazy in and

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Speaker 1: of itself that we would have a woman who wants

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Speaker 1: to be the first woman, first woman president ever, currently

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Speaker 1: sitting vice president and she is unable to do an

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Speaker 1: interview by herself. I've never even heard of a presidential

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Speaker 1: candidate insisting on a co interview with her vice president.

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Speaker 1: Lisa Booth, who's a part of the Clay and Buck

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Speaker 1: podcast network, tweeted out that it's an embarrassment to women

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Speaker 1: that Kamala Harris is arguing she should be the first

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Speaker 1: female president and she isn't even capable of doing an

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Speaker 1: interview without someone else sitting beside her. I agree, I mean,

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Speaker 1: this is very, very strange behavior that they've hidden Kamala

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Speaker 1: Harris for a full month. They finally agree to an interview.

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Speaker 1: It's with Dana Bash. I think we have the audio

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Speaker 1: of Dana Bash where she says that the Democrat Party

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Speaker 1: basically is going after low testosterone men with their convention,

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Speaker 1: which is, by the way, if you're a male voting Democrat.

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Speaker 1: I mean, you talk about damning you with fake praise,

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Speaker 1: but to have to sit with Tim Walls, it's an

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Speaker 1: embarrassment and it's an incredible indictment of Kamala Harris, especially

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Speaker 1: because it's not a live interview. It's going to be

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Speaker 1: a lot of softballs. I would bet you, and I

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Speaker 1: guarantee you that Kamala Harris and Tim Walls and their

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Speaker 1: team either will get the questions or they will make

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Speaker 1: aggressive suggestions about how this interview gets edited. It should

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Speaker 1: be live, It should be live for a full hour.

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Speaker 1: There should be actual difficult questions that are asked. But

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Speaker 1: think about where we are that Kamala Harris is in

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Speaker 1: a position right now where she is refusing to talk

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Speaker 1: to anyone. Meanwhile, Donald Trump is sitting down for linked

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Speaker 1: the interviews with people across the entire Internet. He did

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Speaker 1: an interview with Theo Vaughn, he's a comedian. He did

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Speaker 1: an interview with Aiden Ross. Some of these guys most

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Speaker 1: of you don't even know because they're active on YouTube

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Speaker 1: and they're in the podcast space. He did an interview

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Speaker 1: with Sean Ryan. I believe right the who just lives

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Speaker 1: up the street for me, former military veteran special horses

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Speaker 1: who has a incredibly popular podcast out there. Trump is

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Speaker 1: talking to everybody. He's sitting down and answering every question.

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Speaker 1: Trump has been on this program. What's the total number

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Speaker 1: producer ally that we've had Trump on. I'm trying to think.

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Speaker 1: I know we've done mar A Lago with him for

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Speaker 1: full hours twice. I know we did Bedminster for a

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Speaker 1: full hour with him. I know he just called in

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Speaker 1: recently after you had a couple of x Y boxers

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Speaker 1: that is biological men winning women's boxing championships. And I

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Speaker 1: bet we've had Trump on this show seven or eight times.

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Speaker 1: It feels like and not for like five minute hits,

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Speaker 1: for full hours. And we've talked about this before. But

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Speaker 1: unlike Kamala Harris's team, which is negotiating for months to

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Speaker 1: figure out, Hey, what exactly is going to be the

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Speaker 1: parameters of this interview, what are the rules that are applying,

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Speaker 1: there has never been any sort of guidelines for any

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Speaker 1: interview I've ever done with Trump. We had Trump on

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Speaker 1: twice when I did out Kick the Coverage morning sports

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Speaker 1: talk show. I bet I've interviewed Trump ten times, a

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Speaker 1: bunch of times with Buck on this show, several times

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Speaker 1: on my own. Never have they said, hey, can you

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Speaker 1: make sure that you don't bring this subject up? Never negotiated. Margo,

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Speaker 1: who is Trump's assistant, follows him around. She's fantastic. She

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Speaker 1: just walks in with him. He's got an entourage of

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Speaker 1: one doesn't say hey, can you please not ask me

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Speaker 1: about this? I mean, the last time we interviewed him

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Speaker 1: in person, he walked straight in off the golf course

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Speaker 1: after playing eighteen holes, still in his golf outfit, in

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Speaker 1: his spikes. Set down with us at mar A Lago,

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Speaker 1: went full for straight hour never had any prep at all,

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Speaker 1: zero discussion about what questions he was going to ask,

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Speaker 1: just set down, ready to roll. Kamala can't do that,

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Speaker 1: and so the idea that they're doing a CNN interview,

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Speaker 1: that it's going to be taped, that she has to

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Speaker 1: have Tim Walls with her. I saw one person on

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Speaker 1: social media say, this is like some who is young

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Speaker 1: bringing their parent to a job interview. And what would

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Speaker 1: you do if you own a business if somebody rolled

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Speaker 1: in with their parent for a job interview. I think

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Speaker 1: you'd probably say, I'm not going to hire this person

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Speaker 1: for a job. You wouldn't even think about the possibility

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Speaker 1: of doing it. It's embarrassing, and I think it is

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Speaker 1: challenging in many respects for anyone who wants to argue

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Speaker 1: that Kamala Harris is ready to be the commander in chief,

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Speaker 1: that she is ready to have the most important job

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Speaker 1: in the world, and she can't even sit for an interview.

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Speaker 1: And I've talked about this before. You may not agree

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Speaker 1: with me, you may not agree with Buck. We could

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Speaker 1: right now, I could finish this show at three o'clock Eastern.

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Speaker 1: I could have CBS lined up, I could have NBC

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Speaker 1: lined up I could have ABC lined up, I could

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Speaker 1: have CNN and MSNBC, and I could say to each

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Speaker 1: of them, all five of those networks, if you want,

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Speaker 1: toss in the New York Times and the Washington Post

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Speaker 1: two hey, each get a half hour. You can ask

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Speaker 1: me anything you want to know in the entire world,

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Speaker 1: and I will answer every question. My only request would

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Speaker 1: be all thirty minutes goes live and I host a

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Speaker 1: flip and radio show. Buck could do the same thing

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Speaker 1: I talked about yesterday as soon as I finished this program.

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Speaker 1: I'm gonna do Fox News, and I'm gonna do Fox Business,

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Speaker 1: and I'm gonna do my OutKick show. I don't even

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Speaker 1: want to know the questions that they're gonna ask me,

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Speaker 1: because if I'm not prepared to answer any question dealing

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Speaker 1: with current events, then I don't have enough depth of knowledge.

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Speaker 1: I haven't prepared enough to be able to come talk

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Speaker 1: with you every day. People sometimes ask probably the number

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Speaker 1: one question I get asked, Buckets asked the same question,

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Speaker 1: how much time do you spend preparing? The answer is

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Speaker 1: all of it. I work all day to be ready

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Speaker 1: to talk to you guys for three hours, and to

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Speaker 1: be ready to do OutKick and to be ready to

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Speaker 1: share opinions out there. My wife is downstairs right now

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Speaker 1: practicing law. If we called her and we said, how

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Speaker 1: much time does your husband spend preparing to do his shows,

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Speaker 1: she would say all of it. I've got a eighth

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Speaker 1: grade football game that I'm gonna go to tonight. My

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Speaker 1: eighth grader play and tackle football. It's exciting. I'm gonna

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Speaker 1: go to that game. I Am going to leave that

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Speaker 1: game like ten minutes before it starts, go to a

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Speaker 1: van and do a Fox News interview. I'm gonna switch

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Speaker 1: out of a T shirt into a button down and

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Speaker 1: a jacket. I don't even know what they're gonna ask

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Speaker 1: me on Fox News. I'll sit there and get interviewed

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Speaker 1: five eight minutes, turn around, go right back to the

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Speaker 1: football game. That's a normal day. Kamala Harris has an

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Speaker 1: entire team of advisors, people that are desperately trying to

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Speaker 1: make her look good, and all of those people are

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Speaker 1: so terrified that they won't allow her to do an

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Speaker 1: interview again. I think the contrast is really important. You

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Speaker 1: don't have to agree with everything that Trump does. Trump

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Speaker 1: goes and talks and speaks off the record, off the

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Speaker 1: teleprompter all the time with people everywhere from all different backgrounds,

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Speaker 1: people who like him, people who hate him, people who

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Speaker 1: are friendly, people who are unfriendly. And he tells you

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Speaker 1: exactly what he's going to do if he's president of

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Speaker 1: the United States. Right now, Kamala Harris just keeps changing

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Speaker 1: what she stands for. She said yesterday that she's now

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Speaker 1: in favor of building a wall, and the same day

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Speaker 1: she said she no longer supports an electric vehicle mandate.

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Speaker 1: She's walking back and completely flipping everything that she's ever

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Speaker 1: done and said because she's a chameleon and she's desperate

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Speaker 1: to get elected, and she has no foundational core values.

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Speaker 1: And I believe we have an audio from Kamala during

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Speaker 1: her campaign. Not only did she want to defund the

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Speaker 1: police and bail out all the rioters, she doesn't want

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Speaker 1: for there to be police security inside of your kid's schools.

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Speaker 1: She wants to remove all of them. I believe we

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Speaker 1: have that audio that just went viral this morning. Kids

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Speaker 1: all have security officers in their school. I am thankful

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Speaker 1: for those officers. The kids love the officers. It creates

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Speaker 1: a great relationship between them and law enforcement because they

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Speaker 1: learn they can trust law enforcement and that law enforcement

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Speaker 1: is there to protect them, which unfortunately lots of kids

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Speaker 1: aren't taught. And so I want to play this for

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Speaker 1: you right now. Here is cut for Kamala Harris doesn't

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Speaker 1: want any police officers to help protect your kids inside

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Speaker 1: of the school because she thinks it sends the wrong message.

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Speaker 2: Listen again, what we need to do about taking demilitarizing

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Speaker 2: our schools and taking police officers out of school. We

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Speaker 2: need to deal with the reality and speak the truth

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Speaker 2: about the inequities around school discipline where in particular, black

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Speaker 2: and brown boys are being expelled and are suspended as

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Speaker 2: young as I've seen, as young as in elementary school.

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Speaker 1: Okay, in equity there she is again. You notice I

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Speaker 1: don't know that she's smart enough to even understand the

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Speaker 1: shift in narrative. But for most of our lives we

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Speaker 1: talked about equality. We want to have a standard set

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Speaker 1: of rules, and we want to apply it evenly whether

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Speaker 1: you're white, Black, Asian, Hispanic. We're not going to treat

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Speaker 1: boys and girls different. We're not going to treat the

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Speaker 1: races different. We're going to treat everybody in schools the

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Speaker 1: exact same. There she says she wants equity. But I

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Speaker 1: can't think of something worse that you could say about

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Speaker 1: a school than there shouldn't be able to be armed

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Speaker 1: security in that school protecting your kids. She's wrong on everything,

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Speaker 1: and I think one of the challenges Trump has had

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Speaker 1: in this campaign has had is when you're wrong on everything,

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Speaker 1: sometimes it's hard to know what to focus on. And

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Speaker 1: that's why I've been hammering Economy, border crime, EBC. It's

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Speaker 1: as easy as ABC, except it's EBC, economy border crime.

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Speaker 1: It's an economy border crime election. Trump's gonna win. We'll

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Speaker 1: talk more about this interview. We'll talk more with many

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Speaker 1: of you about the Facebook story. Huge revelation, bigger than

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Speaker 1: anything related to Watergate. I read the New York Times

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Speaker 1: this morning. It's not written about in the entire print

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Speaker 1: newspaper today. I read the New York Times in the

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Speaker 1: Washington Post every single day, so you don't have to

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Speaker 1: not even covered. One of the big powers of the

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Speaker 1: media is not just what they cover, it's what they ignore.

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Speaker 1: Biggest rig election in any of our lives with what

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Speaker 1: the FBI knew about that laptop and the fact that

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Speaker 1: they did not, that they lied to Facebook and Twitter

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Speaker 1: to try to protect the Biden campaign. We'll talk more

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Speaker 1: about that. And Lawfair has returned against President Trump. Jack

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Speaker 1: Smith has got a brand new indictment. What is the

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Speaker 1: impact of that. I'll put my lawyer hat on and

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Speaker 1: walk you through through where we are right now, sitting

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Speaker 1: a little over sixty days officially from election day, with

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Speaker 1: the Department of Justice still trying to put Donald Trump

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Speaker 1: potentially in prison for the rest of his life. All

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Speaker 1: that and more to come, but I want to tell

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Speaker 1: you look first of it's kind credit card for conservatives

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Speaker 1: out there called coin coign. It's a visa backed credit

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Speaker 1: card that is got on my red coincard. I've got

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Speaker 1: the Constitution on it. Can you imagine any other credit

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Speaker 1: card company being willing to put the Constitution? It's crazy,

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Speaker 1: crazy to think. I can't imagine anybody else doing it.

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Speaker 1: Coin gives a portion of all of your purchases back

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Speaker 1: to charity to conservative causes that you will love. You

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Speaker 1: also get one percent cash back rewards. I'm proud to

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Speaker 1: use my coincard. I know many of you are as well.

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Speaker 1: You can sign up super easy. It only takes about

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Speaker 1: five minutes. All you have to do is go to

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Speaker 1: coin dot com that coign. Be sure to select Clay

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Speaker 1: and Buck and the how did you hear about a

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Speaker 1: section on the website coign dot com terms apply. Go

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Speaker 1: to coin dot com slash disclosures for full details, joined

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Speaker 1: Buck and myself and get a credit card that will

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Speaker 1: stand up for your values at coign dot com. We

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Speaker 1: know Kamala is a coward. She has to have a

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Speaker 1: low IQ man Tim Walls and let me just say,

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Speaker 1: I'm going to continue to reiterate this is the dumbest

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Speaker 1: president and vice president tandem that has ever existed in

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Speaker 1: any of our lives. I don't think Kamala is a genius.

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Speaker 1: She failed the Bar exam after all the first time.

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Speaker 1: And let me tell you, as someone who took the

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Speaker 1: bar exam, it's incredibly stressful. I took it back to

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Speaker 1: back years. If you fail the Bar exam, it is

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Speaker 1: a real shot against you because you go to law

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Speaker 1: school for three years and all you get in those

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Speaker 1: three years is the opportunity to take the Bar exam. Now, look,

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Speaker 1: everybody can have a bad day on a test, but

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Speaker 1: all you have to do to pass the Bar exam

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Speaker 1: is be in the top half of people taking the

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Speaker 1: Bar exam on that day. So I took the bar exam.

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Speaker 1: Everybody that I graduated with from Vanderbilt Law School past

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Speaker 1: the Bar exam. I don't know anybody who failed it.

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Speaker 1: And then the next year, while practicing law full time,

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Speaker 1: I took the bar exam all over again, the entire thing,

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Speaker 1: and passed it again. Now I'm not saying I'm a genius,

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Speaker 1: but if you fail the bar exam, it is a

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Speaker 1: shot against you. Now, sometimes you have to take multiple

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Speaker 1: bar exams. Sometimes you have to travel to multiple jurisdictions.

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Speaker 1: I'll tell you, taking a bar exam while practicing law

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Speaker 1: full time is hard. Some people have kids that they

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Speaker 1: got to watch. There are different extimulating circumstances. Kamala had

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Speaker 1: none of those. All she had to do was past

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Speaker 1: the bar exam and she failed. Now she passed it

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Speaker 1: the second time. But if you have failed a bar exam,

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Speaker 1: I think the chances that you are a genius is low.

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Speaker 1: Doesn't mean he can't be smart, but the chances your

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Speaker 1: genius is low. But Kamala is infinitely smarter than Tim Walls.

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Speaker 1: Tim Walls, I believe is a moron. I think if

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Speaker 1: we had Tim Walls on this show and we gave

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Speaker 1: him basic questions. I think that he would fumble around

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Speaker 1: and be unable to answer them. I don't think that

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Speaker 1: Tim Wallas is very smart. Now you don't have to

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Speaker 1: like jd Vance. Jd Vance is really friggin smart. It's

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Speaker 1: hard to get in Yell law school, really really hard

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Speaker 1: to get in Yellhome law school. Donald Trump to have

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Speaker 1: the success that he's had in business is not easy

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Speaker 1: to do. So Trump Advance, that's infinitely smarter. So how

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Speaker 1: do Kamalen Walls win? Media rigs the game for him?

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Speaker 1: And again I tell you that I read everything so

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Speaker 1: you don't have to do it. This morning, I woke up,

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Speaker 1: I got my Crocket coffee, I sat down, I said, okay,

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Speaker 1: I want to know how are the Facebook revelations going

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Speaker 1: to be covered in the New York Times actual print

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Speaker 1: copy of the newspaper. Not one article about it. What

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Speaker 1: you don't cover often says as much as what you

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Speaker 1: do cover. And we talk a lot about low information voters.

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Speaker 1: Most of y'all out there listening to me right now,

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Speaker 1: you're actually pretty high information voters because you're choosing to

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Speaker 1: spend your free time listening to Buck and I talk

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Speaker 1: about all of the issues that are out there in

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Speaker 1: the world on a given day, and if you just

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Speaker 1: pay attention to the way that stories are covered, it's

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Speaker 1: almost impossible not to know the liberal perspective. Liberal is

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Speaker 1: even the wrong word the far left wing, because trying

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Speaker 1: to shut down the First Amendment is not actually a

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Speaker 1: liberal value, it's a communist value. But when you actually

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Speaker 1: break down what is covered, you understand why so many

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Speaker 1: people out there don't know what's actually going on, because

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Speaker 1: if you don't listen to this program, you would have

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Speaker 1: no idea to a large extent, that that Facebook letter existed,

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Speaker 1: and that Mark Zuckerberg told you that the FBI briefed

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Speaker 1: him and said that they should be waiting for Russian

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Speaker 1: disinformation related to Hunter Biden, and beisma when the FBI

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Speaker 1: knew if you listened to yesterday's show, and I really

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Speaker 1: encourage you to go listen to the first hour of

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Speaker 1: yesterday's show on the podcast if you didn't. Senator Ron

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Speaker 1: Johnson called in when the FBI knew because they had

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Speaker 1: in their possession the Hunter Biden laptop, they knew that

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Speaker 1: it was one hundred percent real, So they lied to

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Speaker 1: Mark Zuckerberg and they lied to at the time Jack

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Speaker 1: Dorsey who was running Twitter. They lied to all those

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Speaker 1: people at the tech companies, And I said, yesterday, and

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Speaker 1: I think it's really important. It's easy to pile on

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Speaker 1: to a guy like Mark Zuckerberg or Jack Dorsey back

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Speaker 1: in the day. But if the FBI showed up at

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Speaker 1: your office and they knocked on the door and they said, hey,

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Speaker 1: we just want to give you a heads up. We

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Speaker 1: think Russia is going to try to do something illegal

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Speaker 1: to influence your business. And here's what they're gonna do.

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Speaker 1: They're going to make a laptop and a relationship with

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Speaker 1: a Ukrainian energy company look like it's real, but it's

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Speaker 1: not actually gonna be real. And then when you saw

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Speaker 1: the New York Post with that, wouldn't your natural reaction

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Speaker 1: if the FBI had briefed you, what did your natural

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Speaker 1: reaction be, Like, holy crap, they knew this was coming.

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Speaker 1: That's a natural human reaction. Now, I don't trust the FBI,

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Speaker 1: and I'm telling you this as somebody who's done criminal

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Speaker 1: defense law, I'll tell you the exact same thing I

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Speaker 1: would say. If the FBI knocked on my door and

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Speaker 1: they said, hey, we just need to talk to you

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Speaker 1: about something, I would be I would immediately say the

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Speaker 1: hell I will. I ain't talking to you guys at all.

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Speaker 1: I'm getting the best criminal defense lawyer in the country

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Speaker 1: and I ain't saying a word to you now. That's

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Speaker 1: my opinion of the FBI right now. Now. I don't

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Speaker 1: have that same opinion about local law enforcement I shared

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Speaker 1: on this show. Unfortunately, we've gotten multiple death threats to

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Speaker 1: the house. I called my local police force with that

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Speaker 1: security at the house. Had to sit down with all

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Speaker 1: my kids and talk to him. Hey, dad goes on

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Speaker 1: the radio and he says things and that makes people

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Speaker 1: mad and sometimes they want to kill him for it.

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Speaker 1: Imagine having to have that conversation with your nine year old.

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Speaker 1: We had security around the house, my local police. They

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Speaker 1: come by this house all the time. They have got

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Speaker 1: my back. I talked to our security guard. He said, man,

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Speaker 1: he said, middle of the night, the police came by

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Speaker 1: your house twelve times. They are on here making sure

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Speaker 1: that you and your family are safe where you live.

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Speaker 1: They have got your back. I love my local police force,

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Speaker 1: and I love a lot of you out there all

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Speaker 1: over the country that are working in local police right now.

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Speaker 1: And I know a lot of the local FBI guys

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Speaker 1: are good dudes, good goals. But when I know that

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Speaker 1: the FBI rigged the twenty twenty election for Joe Biden,

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Speaker 1: Am I going to trust them now when they knock

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Speaker 1: on my door.

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Speaker 3: No?

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Speaker 1: And that's a shame because guess what I might have

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Speaker 1: four years ago. I might have wanted to work with

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Speaker 1: them four years ago. I don't trust them, And that's

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Speaker 1: the problem with so many of our institutions right now.

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Speaker 1: I don't trust our Department of Justice. If Merrick Garland,

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Speaker 1: the Attorney General right now, said that he and his

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Speaker 1: top attorneys wanted to meet with me, I wouldn't meet

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Speaker 1: with them unless I went in with my own attorneys. Now,

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Speaker 1: and I'm a lawyer, I should have full faith and

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Speaker 1: confidence in the Attorney General of the United States, not

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Speaker 1: to be a political appointee who's going after somebody who

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Speaker 1: he disagrees with. This is what they've created. They have

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Speaker 1: destroyed trust in our institutions, and much of the media

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Speaker 1: won't even cover them. The only reason that media should exist,

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Speaker 1: in my opinion, from a political perspective, is to speak

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Speaker 1: truth to power. The more wealthy and powerful you become,

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Speaker 1: the more people will do whatever you say, and that

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Speaker 1: becomes scary. It's why back in the day when you

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Speaker 1: were a Roman conqueror, Julius Caesar's rolling through the streets

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Speaker 1: of ancient Rome. I believe this is true. I hope

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Speaker 1: it's not apocryphal, but I have always been told that

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Speaker 1: someone would ride along in the chariot with the Emperor

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Speaker 1: basically whispering in his ear, you are mortal. This too

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Speaker 1: shall pass. If you look at what we create now,

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Speaker 1: much of the media doesn't speak truth to power. It

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Speaker 1: exis is this to cozy up to power and to

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Speaker 1: protect power. And that's a profoundly different dynamic and the

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Speaker 1: easiest way to analyze this. New York Times not one

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Speaker 1: story about in the newspaper today or yesterday about Mark

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Speaker 1: Zuckerberg's letter to Jim Jordan. We're going to talk to

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Speaker 1: Jim Jordan next hour. What would the New York Times

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Speaker 1: have looked like if Donald Trump had done everything that

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Speaker 1: Joe Biden did in regards to Facebook. It'd be on

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Speaker 1: the front page of the New York Times for months.

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Speaker 1: You wouldn't be able to escape at hell. They're still

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Speaker 1: talking about January sixth, and they have completely memory hold

431
00:25:46,600 --> 00:25:49,040
Speaker 1: the fact that part of Donald Trump's ear got ripped

432
00:25:49,080 --> 00:25:55,400
Speaker 1: off by an ar fifteen just last month. We haven't

433
00:25:55,400 --> 00:25:58,520
Speaker 1: had a president shot since Reagan in eighty one, and

434
00:25:58,560 --> 00:26:01,080
Speaker 1: they're already trying to make you forget that Trump got

435
00:26:01,080 --> 00:26:05,879
Speaker 1: shot while simultaneously still talking about January sixth, happened almost

436
00:26:05,880 --> 00:26:10,600
Speaker 1: four years ago. The power of the New York Times

437
00:26:10,640 --> 00:26:15,080
Speaker 1: in the Washington Post is not equaled by anything in

438
00:26:15,119 --> 00:26:21,399
Speaker 1: the conservative media ecosystem. There is no journalistic outlet like that.

439
00:26:21,520 --> 00:26:23,320
Speaker 1: In fact, if you're listening right now and you're a

440
00:26:23,359 --> 00:26:26,960
Speaker 1: billionaire and you've got the money and the resources to

441
00:26:27,040 --> 00:26:32,040
Speaker 1: do it, a New York Times and a Washington Post

442
00:26:32,160 --> 00:26:37,119
Speaker 1: competitor on an incredibly elite level. That does for Fox News.

443
00:26:38,280 --> 00:26:42,159
Speaker 1: What for the media industry could happen to compete with

444
00:26:42,200 --> 00:26:45,879
Speaker 1: the New York Times and the Washington Post would be

445
00:26:45,920 --> 00:26:49,840
Speaker 1: an incredible asset. There is no equivalent. People say, oh

446
00:26:49,880 --> 00:26:53,720
Speaker 1: Fox News. No, No, Fox News and advertiser business. Its competitor

447
00:26:53,760 --> 00:26:58,000
Speaker 1: is MSNBC and CNN. That company makes its money all

448
00:26:58,040 --> 00:27:00,920
Speaker 1: of those television networks based on the audience that they produce.

449
00:27:00,920 --> 00:27:02,880
Speaker 1: Remember yesterday when I told you there's only two ways

450
00:27:02,920 --> 00:27:07,760
Speaker 1: media companies make money. One is advertising, and advertising relies

451
00:27:07,800 --> 00:27:11,159
Speaker 1: on the biggest possible audience. The bigger your audience is,

452
00:27:11,240 --> 00:27:14,439
Speaker 1: the more money you make. That's an advertiser based model.

453
00:27:14,600 --> 00:27:17,080
Speaker 1: The other is a subscription based model. Now some mix

454
00:27:17,160 --> 00:27:22,080
Speaker 1: the two, but a subscription based model is diehard. Hey,

455
00:27:22,160 --> 00:27:25,480
Speaker 1: I'll pay you X number of dollars to be able

456
00:27:25,520 --> 00:27:28,680
Speaker 1: to see your content. What's happened with the New York

457
00:27:28,720 --> 00:27:31,080
Speaker 1: Times the Washington Post is And most people haven't realized this.

458
00:27:31,119 --> 00:27:33,480
Speaker 1: They moved from an advertiser model by and large to

459
00:27:33,480 --> 00:27:37,639
Speaker 1: a subscription model. And a subscription model isn't about pursuing truth.

460
00:27:37,680 --> 00:27:40,400
Speaker 1: It's about telling your subscribers what they already want to hear.

461
00:27:42,480 --> 00:27:44,240
Speaker 1: I wrote about this a lot in my most recent

462
00:27:44,240 --> 00:27:47,639
Speaker 1: book I Understand Media well because I ran OutKick, But

463
00:27:47,720 --> 00:27:51,280
Speaker 1: it is fundamentally transformed the way we talk about stories.

464
00:27:51,840 --> 00:27:56,000
Speaker 1: And again, it's not just what's covered, it's the absence

465
00:27:56,040 --> 00:27:57,920
Speaker 1: of coverage. If you woke up today and you're super

466
00:27:57,960 --> 00:28:01,639
Speaker 1: busy and you read the New York Times, you would

467
00:28:01,640 --> 00:28:04,840
Speaker 1: have no idea that that Facebook story had even happened,

468
00:28:04,840 --> 00:28:07,760
Speaker 1: that Mark Zuckerberg had written that letter. I've got a

469
00:28:07,760 --> 00:28:14,240
Speaker 1: good buddy. I mentioned this recently. Super Busy Warrior doesn't

470
00:28:14,280 --> 00:28:18,000
Speaker 1: watch television isn't on social media. It's got a bunch

471
00:28:18,040 --> 00:28:21,480
Speaker 1: of kids, works eighty hours a week in a law firm.

472
00:28:22,160 --> 00:28:26,960
Speaker 1: We text. He texted me a story about Biden behind

473
00:28:26,960 --> 00:28:29,560
Speaker 1: the scenes and how decrepit he was that The New

474
00:28:29,640 --> 00:28:32,919
Speaker 1: York Times wrote once they forced Joe Biden out, and

475
00:28:33,000 --> 00:28:35,199
Speaker 1: he was like, man, did you have any idea how

476
00:28:35,240 --> 00:28:38,520
Speaker 1: bad Biden had gotten? I was like, yeah, yeah, I did.

477
00:28:38,960 --> 00:28:42,640
Speaker 1: I knew. But he relies on The New York Times

478
00:28:42,680 --> 00:28:46,200
Speaker 1: to keep him informed because he's super busy. There are

479
00:28:46,280 --> 00:28:49,400
Speaker 1: tens of millions of people like that. How do you

480
00:28:49,480 --> 00:28:52,880
Speaker 1: reach him with the truth when the New York Times,

481
00:28:52,960 --> 00:28:55,760
Speaker 1: because it's a subscription business, is not in the business

482
00:28:55,760 --> 00:28:59,600
Speaker 1: anymore of sharing the truth. Same thing with the Washington Post.

483
00:29:00,080 --> 00:29:04,040
Speaker 1: They're in the business of making their subscribers believe that

484
00:29:04,240 --> 00:29:08,040
Speaker 1: they're of the good people, and the Republicans are evil

485
00:29:08,240 --> 00:29:11,960
Speaker 1: and Trump is Hitler. Producer Ali says she listens to

486
00:29:12,040 --> 00:29:18,320
Speaker 1: three morning news podcast NPR and CNN did not actually

487
00:29:18,400 --> 00:29:22,600
Speaker 1: cover the Mark Zuckerberg letter. Lots of good people out

488
00:29:22,600 --> 00:29:25,160
Speaker 1: there listen to NPR and CNN. They don't know any better.

489
00:29:25,200 --> 00:29:27,640
Speaker 1: They read the New York Times. They've been doing it

490
00:29:27,680 --> 00:29:31,560
Speaker 1: for twenty thirty forty years, your friends, your family, they

491
00:29:31,640 --> 00:29:34,760
Speaker 1: consume the same media they've always consumed, and they don't

492
00:29:34,840 --> 00:29:38,720
Speaker 1: realize how much things have changed and how dishonest many

493
00:29:38,760 --> 00:29:43,800
Speaker 1: of those media sources are. It's a huge problem. Until

494
00:29:43,840 --> 00:29:46,800
Speaker 1: you actually go down the rabbit hole and start to

495
00:29:46,920 --> 00:29:51,840
Speaker 1: examine stories aggressively, you are not aware of what is

496
00:29:52,000 --> 00:29:55,760
Speaker 1: actually out there. And I use this as an example,

497
00:29:55,920 --> 00:30:00,440
Speaker 1: this Facebook story. It's way bigger than Watergate. We don't

498
00:30:00,440 --> 00:30:02,840
Speaker 1: know who in the world rigged the election for Joe Biden.

499
00:30:02,880 --> 00:30:05,400
Speaker 1: They're still being paid by our tax dollars in the government,

500
00:30:05,480 --> 00:30:08,680
Speaker 1: people at the FBI, CIA, deep state. I don't know

501
00:30:09,640 --> 00:30:12,320
Speaker 1: because we don't know. You heard Ron Johnson call in

502
00:30:12,760 --> 00:30:15,560
Speaker 1: the Senator. It's one of the most powerful guys in

503
00:30:15,600 --> 00:30:18,640
Speaker 1: the country. They were briefing him and telling him that

504
00:30:18,760 --> 00:30:21,760
Speaker 1: he was going to be subject to Russian disinformation. He's

505
00:30:21,760 --> 00:30:24,640
Speaker 1: been asking for a while who ordered this briefing. He

506
00:30:24,680 --> 00:30:29,960
Speaker 1: doesn't even know. It goes deep, man, This goes really,

507
00:30:30,080 --> 00:30:32,560
Speaker 1: really deep, and you have to be aware of it

508
00:30:32,800 --> 00:30:35,200
Speaker 1: because if they did it in twenty twenty when they

509
00:30:35,280 --> 00:30:37,760
Speaker 1: weren't in power, what are they going to do in

510
00:30:37,800 --> 00:30:42,080
Speaker 1: twenty twenty four when they're actually in power again. Keep

511
00:30:42,120 --> 00:30:45,680
Speaker 1: your heads on a swivel, and also try to get

512
00:30:45,760 --> 00:30:49,719
Speaker 1: your friends and family to consume multiple sources of media,

513
00:30:50,080 --> 00:30:52,960
Speaker 1: even if it forces them to consider maybe their prior

514
00:30:52,960 --> 00:30:56,440
Speaker 1: opinions were wrong. Israeli citizens woke up today wondering if

515
00:30:56,480 --> 00:30:59,440
Speaker 1: they'd hear warning sirens. Not a day that goes by

516
00:30:59,480 --> 00:31:02,320
Speaker 1: when income missiles don't threaten one part of the nation

517
00:31:02,480 --> 00:31:05,720
Speaker 1: or another. It's why so many Israeli residents have bomb

518
00:31:05,800 --> 00:31:09,560
Speaker 1: shelters or access to one. The International Fellowship of Christians

519
00:31:09,560 --> 00:31:12,200
Speaker 1: and Jews, that's the IFCJ has been helping to provide

520
00:31:12,240 --> 00:31:15,560
Speaker 1: as many Israeli citizens as possible with food and medicine

521
00:31:15,560 --> 00:31:18,480
Speaker 1: for bomb shelter stays that last several days in a row.

522
00:31:18,800 --> 00:31:21,480
Speaker 1: For more than forty years, the IFCJ has been on

523
00:31:21,520 --> 00:31:24,280
Speaker 1: the ground in Israel within hours of the attacks by

524
00:31:24,320 --> 00:31:28,120
Speaker 1: Hamas soldiers last October and every day since. The IFCJ

525
00:31:28,280 --> 00:31:32,560
Speaker 1: has been feeding the hungry and protecting the vulnerable. We

526
00:31:32,680 --> 00:31:35,040
Speaker 1: need to help them. One solid way to do that

527
00:31:35,160 --> 00:31:39,120
Speaker 1: is through the humanitarian efforts provided by the IFCJ. Support

528
00:31:39,160 --> 00:31:41,920
Speaker 1: Israel through the International Fellowship of Christians and Jews to

529
00:31:41,960 --> 00:31:44,640
Speaker 1: hear more stories like this one and show your support

530
00:31:44,640 --> 00:31:57,840
Speaker 1: for Israel. Visit support IFCJ dot org. Nade Silver on

531
00:31:57,880 --> 00:31:59,640
Speaker 1: Twitter getting a lot of hate for saying that you

532
00:31:59,680 --> 00:32:03,080
Speaker 1: can have for kamalas he's a smart guy making a

533
00:32:03,160 --> 00:32:06,400
Speaker 1: very bad choice. But where I'll give him credit is

534
00:32:07,200 --> 00:32:10,560
Speaker 1: I don't mind when people tell you what they're gonna do,

535
00:32:11,040 --> 00:32:14,080
Speaker 1: and then you can assess how to weigh their opinion

536
00:32:14,280 --> 00:32:17,960
Speaker 1: based on that. What I am bothered by is Dana

537
00:32:18,000 --> 00:32:20,960
Speaker 1: Bash is going to sit down and interview Kamala Harris

538
00:32:21,000 --> 00:32:25,479
Speaker 1: and Tim Walls tomorrow, and after that interview, she's going

539
00:32:25,560 --> 00:32:28,640
Speaker 1: to say, you know, I don't really have partisan leanings.

540
00:32:29,040 --> 00:32:32,280
Speaker 1: I'm a journalist. I'm right down the middle. I don't

541
00:32:32,360 --> 00:32:37,280
Speaker 1: ever make decisions based on what might be my own biases.

542
00:32:37,760 --> 00:32:42,080
Speaker 1: I am completely right down the middle. And it's a lie.

543
00:32:42,200 --> 00:32:45,640
Speaker 1: I've told people my whole career in media. When I

544
00:32:45,720 --> 00:32:49,720
Speaker 1: started writing an O four, I told people every election, hey,

545
00:32:49,800 --> 00:32:52,200
Speaker 1: this is who I'm voting for. You don't have to

546
00:32:52,320 --> 00:32:55,960
Speaker 1: agree at all, but I think you should be able

547
00:32:56,000 --> 00:32:58,440
Speaker 1: to understand where I'm coming from. And if you think

548
00:32:58,480 --> 00:33:01,240
Speaker 1: I'm biased, or you think think I'm not being honest,

549
00:33:01,560 --> 00:33:03,560
Speaker 1: all I can do is tell you what I'm doing.

550
00:33:04,360 --> 00:33:06,280
Speaker 1: And I did the same thing during COVID. I'm like, hey,

551
00:33:06,320 --> 00:33:08,320
Speaker 1: I'm putting my kids back in school. My kids aren't

552
00:33:08,360 --> 00:33:12,120
Speaker 1: wearing masks. I'm not getting them shots. To me, what

553
00:33:12,160 --> 00:33:15,560
Speaker 1: you do in your own life tells us way more

554
00:33:15,600 --> 00:33:17,840
Speaker 1: than what you say. I didn't get the COVID shot.

555
00:33:18,040 --> 00:33:23,760
Speaker 1: I told everybody, And I think actually Nate Silver knows

556
00:33:23,880 --> 00:33:27,240
Speaker 1: that Kamala is a joke. I think because he works

557
00:33:27,280 --> 00:33:29,760
Speaker 1: in media and lives in New York City, he's not

558
00:33:29,960 --> 00:33:34,000
Speaker 1: willing to cross the bridge and vote for Trump, because

559
00:33:34,040 --> 00:33:35,680
Speaker 1: I'll tell you, when I came out and said I

560
00:33:35,720 --> 00:33:38,959
Speaker 1: was voting for Trump in sports media, people said, you

561
00:33:39,080 --> 00:33:42,520
Speaker 1: just lit the bridge on fire behind you. You can't

562
00:33:42,600 --> 00:33:45,840
Speaker 1: work in sports media anymore. When twenty twenty, when I

563
00:33:45,840 --> 00:33:48,840
Speaker 1: did that, I was the only person. I think I'm

564
00:33:48,920 --> 00:33:52,200
Speaker 1: still the only person who talked about sports for a

565
00:33:52,240 --> 00:33:57,240
Speaker 1: living that publicly said I'm voting for Donald Trump. Jim

566
00:33:57,320 --> 00:34:01,080
Speaker 1: Jordan's with us now. Jim, I appreciate you coming on

567
00:34:01,200 --> 00:34:04,120
Speaker 1: with us. You went through some of those fires with me.

568
00:34:04,200 --> 00:34:06,240
Speaker 1: You would come on the Sports show back in the day.

569
00:34:06,320 --> 00:34:10,400
Speaker 1: You're a huge sports fan. Isn't it incredible that not

570
00:34:10,560 --> 00:34:14,400
Speaker 1: one single person who works at ESPN has ever said, Hey,

571
00:34:14,440 --> 00:34:15,800
Speaker 1: I'm voting for Trump publicly.

572
00:34:16,800 --> 00:34:22,000
Speaker 3: No, that's today's sports world, today's media world. I think

573
00:34:22,040 --> 00:34:24,600
Speaker 3: what's interesting too, is that it's sticking with a sports analogy.

574
00:34:24,719 --> 00:34:27,320
Speaker 3: Is I think we're now getting past the pep rally

575
00:34:27,360 --> 00:34:29,480
Speaker 3: stage and we're getting into the game. You know, for

576
00:34:29,560 --> 00:34:32,000
Speaker 3: third on thirty seven, thirty eight days, it's been one

577
00:34:32,239 --> 00:34:35,120
Speaker 3: giant pep rally, all kicks and giggles. But I learned

578
00:34:35,120 --> 00:34:36,759
Speaker 3: a long time ago in the sport I was involved in,

579
00:34:36,760 --> 00:34:38,239
Speaker 3: the pep rally is great. At some point you got

580
00:34:38,239 --> 00:34:39,520
Speaker 3: step on the mat and you gotta prove it.

581
00:34:39,600 --> 00:34:39,799
Speaker 1: Yep.

582
00:34:40,080 --> 00:34:42,080
Speaker 3: And now it's time to get to the facts and

583
00:34:42,080 --> 00:34:45,440
Speaker 3: the issues. And we've got this debate and we'll see

584
00:34:45,480 --> 00:34:47,320
Speaker 3: what happens there. I have a pretty good feeling that

585
00:34:47,360 --> 00:34:49,480
Speaker 3: President Trump, who does great in these debates, and Jade

586
00:34:49,480 --> 00:34:52,280
Speaker 3: bands are going to win when they go up against

587
00:34:52,280 --> 00:34:54,040
Speaker 3: the Vice president and Governor Wallas.

588
00:34:54,400 --> 00:34:55,759
Speaker 1: I agree with you, and let me give you some

589
00:34:55,800 --> 00:34:58,200
Speaker 1: credit here. You and I, I believe met for the

590
00:34:58,239 --> 00:35:01,799
Speaker 1: first time in twenty twenty one in person when I

591
00:35:01,920 --> 00:35:07,080
Speaker 1: came and spoke at a subcommittee hearing dealing with Yeah, Yeah,

592
00:35:07,120 --> 00:35:09,560
Speaker 1: It was fun, but it was important too, dealing with

593
00:35:09,680 --> 00:35:12,600
Speaker 1: the way that Facebook can rig traffic. And I don't

594
00:35:12,600 --> 00:35:14,640
Speaker 1: know how well you remember that, but I certainly remember

595
00:35:14,640 --> 00:35:17,040
Speaker 1: it well because I lived it with my business. We

596
00:35:17,080 --> 00:35:19,560
Speaker 1: wrote a bunch of positive things about Donald Trump after

597
00:35:19,600 --> 00:35:22,880
Speaker 1: he came on my show, and our site traffic vanished

598
00:35:22,920 --> 00:35:27,080
Speaker 1: on Facebook, and it was an algorithmic move. They punished

599
00:35:27,160 --> 00:35:31,040
Speaker 1: us for writing too positively about Trump and what we're

600
00:35:31,040 --> 00:35:33,080
Speaker 1: now saying. I got to give you am Mins credit here.

601
00:35:33,600 --> 00:35:37,600
Speaker 1: The letter that Mark Zuckerberg wrote to you that came

602
00:35:37,640 --> 00:35:41,560
Speaker 1: out what Monday afternoon is one of the most jaw

603
00:35:41,680 --> 00:35:44,879
Speaker 1: dropping admissions that I have ever seen anyone in big

604
00:35:44,920 --> 00:35:49,160
Speaker 1: tech make. And it was so incredible that The New

605
00:35:49,239 --> 00:35:52,120
Speaker 1: York Times is pretending it doesn't exist. I was talking

606
00:35:52,160 --> 00:35:54,560
Speaker 1: to my audience earlier. I read the New York Times

607
00:35:54,600 --> 00:35:56,800
Speaker 1: this morning. I read it yesterday print edition of the

608
00:35:56,800 --> 00:35:58,880
Speaker 1: newspaper delivered to my house. They don't have a single

609
00:35:59,000 --> 00:36:01,879
Speaker 1: article about Zuckerg admitting that he was lied to by

610
00:36:01,880 --> 00:36:05,920
Speaker 1: the FBI, about the Hunter Biden laptop, or about the

611
00:36:05,960 --> 00:36:08,960
Speaker 1: censorship attempts from the Biden White House. So my question,

612
00:36:09,000 --> 00:36:11,000
Speaker 1: first of all, incredible work by you to get that

613
00:36:11,080 --> 00:36:14,160
Speaker 1: letter written. Why did Mark Zuckerberg write it? Now? What

614
00:36:14,160 --> 00:36:15,279
Speaker 1: do you think his motivations were?

615
00:36:16,280 --> 00:36:19,560
Speaker 3: Well, because we've deposed over a dozen Facebook employees. We've

616
00:36:19,560 --> 00:36:22,080
Speaker 3: had a year and a half investigation. We've deposed from

617
00:36:22,520 --> 00:36:24,759
Speaker 3: deposed and interviewed line level people all the way up

618
00:36:24,800 --> 00:36:27,040
Speaker 3: to Sir Nick Clegg, the number three guy, former Deputy

619
00:36:27,080 --> 00:36:29,480
Speaker 3: Prime Minister, great good, number three guy met us and

620
00:36:29,600 --> 00:36:31,719
Speaker 3: I think at some point he just said, look, this

621
00:36:31,840 --> 00:36:33,640
Speaker 3: needs to be over with. We're gonna we're just gonna

622
00:36:33,640 --> 00:36:36,239
Speaker 3: come clean and state the fact. And if you've been

623
00:36:36,280 --> 00:36:38,680
Speaker 3: that letter, there were four key key things he pointed out.

624
00:36:39,000 --> 00:36:43,160
Speaker 3: One Biden Harris administration pressure Facebook to censor. Two they

625
00:36:43,200 --> 00:36:48,240
Speaker 3: did censor. Three they throttled back to the Hunter Biden laptop story.

626
00:36:48,360 --> 00:36:49,960
Speaker 3: And then the fourth big point, which I think is

627
00:36:50,040 --> 00:36:52,960
Speaker 3: really important as well, he said, no more Zuckerbucks, no

628
00:36:53,000 --> 00:36:54,799
Speaker 3: more spending on these elections like we did back in

629
00:36:54,840 --> 00:36:57,839
Speaker 3: twenty twenty. So. But I think the reason they did

630
00:36:57,960 --> 00:37:00,719
Speaker 3: is because our team and it didn't want just you know,

631
00:37:00,880 --> 00:37:03,080
Speaker 3: it was our committee, it was our staff. We worked

632
00:37:03,080 --> 00:37:05,160
Speaker 3: hard on this over the last year, and God bless

633
00:37:05,160 --> 00:37:07,520
Speaker 3: Elon Musk who came forward and provided sort of the

634
00:37:07,560 --> 00:37:09,520
Speaker 3: catalyst for this with the Twitter files, because then it

635
00:37:09,560 --> 00:37:12,240
Speaker 3: was the Facebook files, the YouTube files, all this stuff

636
00:37:12,280 --> 00:37:15,640
Speaker 3: we did, but specifically with Meta, it was we deposed

637
00:37:15,680 --> 00:37:19,320
Speaker 3: over a dozen people. They saw we have the transcripts

638
00:37:19,360 --> 00:37:22,080
Speaker 3: that point all this out, how government was working with them,

639
00:37:22,280 --> 00:37:23,680
Speaker 3: and I think he just said, let's just put it

640
00:37:23,680 --> 00:37:25,200
Speaker 3: in a letter and hopefully get this thing over with.

641
00:37:26,239 --> 00:37:29,960
Speaker 1: FBI got the Hunter Biden laptop in December of twenty nineteen.

642
00:37:30,560 --> 00:37:34,800
Speaker 1: They were telling Twitter and Facebook in the late fall,

643
00:37:35,200 --> 00:37:38,160
Speaker 1: right before the twenty twenty election, that they thought this

644
00:37:38,320 --> 00:37:41,840
Speaker 1: was going to be Russian disinformation. Yeah, Congressman, are we

645
00:37:42,000 --> 00:37:45,800
Speaker 1: ever going to know who ordered that code red inside

646
00:37:45,840 --> 00:37:49,480
Speaker 1: of our government? And here's what I'm troubled by. I mean,

647
00:37:49,520 --> 00:37:51,560
Speaker 1: one that rigged the election. I think you would probably

648
00:37:51,600 --> 00:37:53,960
Speaker 1: agree with it, because if the truth had come out

649
00:37:54,080 --> 00:37:57,120
Speaker 1: about the Hunter Biden laptop and Joe Biden's involvement and

650
00:37:57,400 --> 00:37:59,840
Speaker 1: all the different foreign millions of dollars pouring into the

651
00:37:59,840 --> 00:38:02,399
Speaker 1: thing family, Trump would have won. So I do think

652
00:38:02,400 --> 00:38:04,600
Speaker 1: they rigged the election. They are just based on that

653
00:38:04,640 --> 00:38:08,719
Speaker 1: individual story. But if that person or those individuals did

654
00:38:08,760 --> 00:38:12,000
Speaker 1: that in twenty twenty, why wouldn't they try something similar

655
00:38:12,040 --> 00:38:12,839
Speaker 1: in twenty twenty four.

656
00:38:13,280 --> 00:38:15,279
Speaker 3: Well, that's why this the timing this I think is

657
00:38:15,280 --> 00:38:17,320
Speaker 3: also important because we don't know what they may be

658
00:38:17,440 --> 00:38:20,480
Speaker 3: up to. Now, you're right, that came out on October fourteenth,

659
00:38:20,480 --> 00:38:22,520
Speaker 3: the New York Post story. I mean, we're just what

660
00:38:22,800 --> 00:38:24,960
Speaker 3: twenty some days before the most important election we have

661
00:38:25,120 --> 00:38:28,319
Speaker 3: for you know, President United States. And they had prebunked

662
00:38:28,360 --> 00:38:30,520
Speaker 3: it all along. I mean, Shallenberger writes about this in

663
00:38:31,239 --> 00:38:34,600
Speaker 3: Twitter files, TYBI the whole thing. So they had prebunked this.

664
00:38:34,640 --> 00:38:35,960
Speaker 3: But one of the guys we did interview is a

665
00:38:35,960 --> 00:38:38,520
Speaker 3: guy named Brady Olsen with the FBI, and he told

666
00:38:38,560 --> 00:38:40,239
Speaker 3: us that there was a meeting the day the New

667
00:38:40,320 --> 00:38:43,040
Speaker 3: York Post story comes out the government, our government just

668
00:38:43,080 --> 00:38:45,200
Speaker 3: happened to be meeting with big tech companies and the

669
00:38:45,200 --> 00:38:48,640
Speaker 3: meeting with Twitter. Someone from Twitter asked, hey, is this true?

670
00:38:48,719 --> 00:38:51,440
Speaker 3: This story because it didn't jibe with what our government

671
00:38:51,560 --> 00:38:54,399
Speaker 3: had been telling him that the whole summer in early fall.

672
00:38:54,840 --> 00:38:57,239
Speaker 3: And they said, is this true? And someone said the

673
00:38:57,320 --> 00:39:00,480
Speaker 3: laptop's reel. That was quickly followed up by another individual

674
00:39:00,520 --> 00:39:03,880
Speaker 3: from Justice departments. No further comment, and then they got

675
00:39:03,920 --> 00:39:05,880
Speaker 3: their stories straight and that they put out a statement

676
00:39:05,920 --> 00:39:09,200
Speaker 3: to all tech companies basically saying, we have the laptop

677
00:39:09,239 --> 00:39:10,640
Speaker 3: and we're not going to say one way or the other.

678
00:39:11,040 --> 00:39:14,520
Speaker 3: But initially someone spilled the beans and then they quickly

679
00:39:14,520 --> 00:39:15,799
Speaker 3: tried to say, oh no, no, we're not going to

680
00:39:15,800 --> 00:39:18,400
Speaker 3: talk about that, and that's exactly what they did. So, yeah,

681
00:39:18,480 --> 00:39:21,160
Speaker 3: they pre bunked it, and then when it happened, that's

682
00:39:21,200 --> 00:39:23,799
Speaker 3: why Facebook and Twitter and these folks kind of did

683
00:39:23,800 --> 00:39:26,000
Speaker 3: the disensoring that they did of the laptop story. And

684
00:39:26,000 --> 00:39:28,160
Speaker 3: as you and I believe that had an impact on

685
00:39:28,200 --> 00:39:30,560
Speaker 3: the election. Probably when you're talking about such a small

686
00:39:30,600 --> 00:39:33,319
Speaker 3: margin for Joe Biden, probably changed the course of the

687
00:39:33,480 --> 00:39:34,040
Speaker 3: of the election.

688
00:39:34,600 --> 00:39:36,319
Speaker 1: I think Trump would be in office. I don't think

689
00:39:36,440 --> 00:39:39,160
Speaker 1: Ukraine would have gotten invaded. I don't think that Hamas

690
00:39:39,200 --> 00:39:41,280
Speaker 1: would have done what they did on October seven. Certainly

691
00:39:41,320 --> 00:39:43,480
Speaker 1: we wouldn't have let over ten million people in the nation.

692
00:39:43,680 --> 00:39:46,160
Speaker 1: Inflation wouldn't have gone from one point four percent to

693
00:39:46,239 --> 00:39:49,759
Speaker 1: nine percent, all of those things. Jim, I think our

694
00:39:49,880 --> 00:39:52,440
Speaker 1: direct result of the lies that were told from inside

695
00:39:52,440 --> 00:39:54,600
Speaker 1: our government to the big tech companies. And I know this.

696
00:39:55,320 --> 00:39:57,440
Speaker 1: I don't know what your personal relationship is like, if

697
00:39:57,840 --> 00:40:00,319
Speaker 1: any with Mark Zuckerberg. But I've said on this show,

698
00:40:00,320 --> 00:40:02,040
Speaker 1: and I know you listened, so you may have heard it.

699
00:40:02,080 --> 00:40:05,640
Speaker 1: But it's easy to focus on the Zuckerbergs and the

700
00:40:05,719 --> 00:40:09,319
Speaker 1: Jack Dorsey's of the world at Twitter. But if the

701
00:40:09,440 --> 00:40:13,040
Speaker 1: FBI comes to you and says that Russian disinformation is coming,

702
00:40:13,440 --> 00:40:16,600
Speaker 1: and then a version of that comes out, it's natural

703
00:40:16,680 --> 00:40:20,120
Speaker 1: for them to have believed that it was Russian disinformation.

704
00:40:20,560 --> 00:40:22,680
Speaker 1: A lot of the blame shifting on them, to me

705
00:40:23,000 --> 00:40:26,080
Speaker 1: should instead be back on our intelligence agents in our

706
00:40:26,239 --> 00:40:29,319
Speaker 1: interior government for what they did. Not the tech guys.

707
00:40:29,960 --> 00:40:34,160
Speaker 3: No, exactly right, And you know the biggest problem is

708
00:40:34,200 --> 00:40:37,120
Speaker 3: government government pressuring him. That's the real city. Now. They

709
00:40:37,239 --> 00:40:39,720
Speaker 3: succumb to it. And it wasn't just the laptop. Remember

710
00:40:39,719 --> 00:40:43,840
Speaker 3: they censored other things as well. And remember too, did this.

711
00:40:44,000 --> 00:40:46,040
Speaker 3: You had a tweet last week that I thought was

712
00:40:46,080 --> 00:40:48,319
Speaker 3: so good about RFK what he said about President Trump

713
00:40:48,320 --> 00:40:50,640
Speaker 3: and his endorsement. He made the same statement in front

714
00:40:50,680 --> 00:40:52,200
Speaker 3: of our committee because I invited him in as a

715
00:40:52,280 --> 00:40:54,399
Speaker 3: witness a year ago, and he said the same thing.

716
00:40:54,440 --> 00:40:57,799
Speaker 3: He said, the people who censor usually aren't the good

717
00:40:57,800 --> 00:41:00,200
Speaker 3: guys in history. I'm paraphrasing. He said it better than that,

718
00:41:00,520 --> 00:41:03,640
Speaker 3: but he said that in our hearing as well, because

719
00:41:03,680 --> 00:41:05,319
Speaker 3: he came in. And the reason he is so fired

720
00:41:05,360 --> 00:41:09,000
Speaker 3: up about President Trump is this censorship industrial complexes ab

721
00:41:09,120 --> 00:41:11,960
Speaker 3: and Chellenburger have called it because they went after him.

722
00:41:11,960 --> 00:41:15,239
Speaker 3: On day three of the Biden Harris regime, there's an

723
00:41:15,280 --> 00:41:18,839
Speaker 3: email from Clark Humphrey to Twitter saying, take down this

724
00:41:18,920 --> 00:41:21,759
Speaker 3: tweet asap. Car company working at the White House, take

725
00:41:21,800 --> 00:41:23,799
Speaker 3: down this tweet asap. And it was a tweet from

726
00:41:23,880 --> 00:41:26,600
Speaker 3: RFK Junior where he said, Hank Aaron took the vaccine,

727
00:41:26,640 --> 00:41:28,960
Speaker 3: Hank Aaron passed away after taking it. He was doing

728
00:41:29,000 --> 00:41:31,520
Speaker 3: so to encourage black Americans to get vaccinated. There's not

729
00:41:31,640 --> 00:41:33,960
Speaker 3: one false statement in that tweet, and yet they wanted

730
00:41:34,040 --> 00:41:35,360
Speaker 3: him to take it down because they didn't like what

731
00:41:35,400 --> 00:41:37,880
Speaker 3: it was conveying. They didn't like the contact that this

732
00:41:38,040 --> 00:41:41,040
Speaker 3: was this, you know, malinformation belowing that our government was

733
00:41:41,040 --> 00:41:44,840
Speaker 3: involved in. So this is big stuff when our government

734
00:41:44,960 --> 00:41:48,640
Speaker 3: is pressuring people to censor, because, as RFK Junior said,

735
00:41:48,640 --> 00:41:51,359
Speaker 3: and you tweeted about it, the good guys in history

736
00:41:51,360 --> 00:41:53,320
Speaker 3: aren't the ones who are on the censorship.

737
00:41:52,880 --> 00:41:57,040
Speaker 1: Side, Jim. When you look at the way that New

738
00:41:57,120 --> 00:42:00,719
Speaker 1: York Times The Washington Post, NPR, the usual suspects c

739
00:42:00,760 --> 00:42:04,880
Speaker 1: in NMSNBC, the way they covered a few ad bys

740
00:42:04,920 --> 00:42:09,160
Speaker 1: by Russia on Facebook, which in the grand scheme of things,

741
00:42:09,280 --> 00:42:11,920
Speaker 1: is completely inconsequential. And I'm saying that as a media

742
00:42:11,960 --> 00:42:14,640
Speaker 1: figure who's run a media company. We bought a lot

743
00:42:14,640 --> 00:42:17,080
Speaker 1: of Facebook ads over the years. You have to spend

744
00:42:17,120 --> 00:42:21,000
Speaker 1: millions and millions of dollars, tens of millions, even hundreds

745
00:42:21,040 --> 00:42:23,600
Speaker 1: of millions, in order for your message to really get out.

746
00:42:24,040 --> 00:42:26,680
Speaker 1: Russia was testing and spending a few hundred dollars, maybe

747
00:42:26,680 --> 00:42:29,359
Speaker 1: one thousand dollars here and there. It was covered as

748
00:42:29,400 --> 00:42:31,719
Speaker 1: if those ad bys put Trump in the White House

749
00:42:31,719 --> 00:42:35,600
Speaker 1: in twenty sixteen. We spent years on that allegation. Given

750
00:42:35,680 --> 00:42:39,279
Speaker 1: what Mark Zuckerberg just admitted to, how wild is it

751
00:42:39,360 --> 00:42:41,839
Speaker 1: if you compare the amount of attention given to that

752
00:42:41,880 --> 00:42:45,520
Speaker 1: twenty sixteen tiny ad buy with the censorship and also

753
00:42:45,640 --> 00:42:48,440
Speaker 1: with the government briefings that led to the censorship of

754
00:42:48,440 --> 00:42:49,920
Speaker 1: the Hunter Byden laptop story.

755
00:42:50,760 --> 00:42:54,400
Speaker 3: Not even close, not even close. And this is just

756
00:42:54,560 --> 00:42:57,279
Speaker 3: part of it. Remember three weeks ago, I guess two

757
00:42:57,320 --> 00:43:01,000
Speaker 3: and a half weeks ago, this organization gone arm This

758
00:43:01,239 --> 00:43:04,919
Speaker 3: continues operation and this all stem from us doing an investigation.

759
00:43:05,880 --> 00:43:08,160
Speaker 3: But basically I really started when I when I was

760
00:43:08,200 --> 00:43:11,440
Speaker 3: in a meeting with Speaker McCarthy and Elon Musk, and

761
00:43:11,440 --> 00:43:13,680
Speaker 3: I remember Elon Musk. We were talking about garment, he said,

762
00:43:14,920 --> 00:43:17,040
Speaker 3: and he was so right. We dug into this, but

763
00:43:17,120 --> 00:43:19,200
Speaker 3: it is so broad, and yet they made a big

764
00:43:19,239 --> 00:43:21,920
Speaker 3: deal out of a few what Russian bots doing, whatever

765
00:43:21,960 --> 00:43:24,600
Speaker 3: they were doing, and something out back in twenty sixteen,

766
00:43:24,920 --> 00:43:28,640
Speaker 3: and it was nothing compared to what they're doing, to

767
00:43:29,239 --> 00:43:31,200
Speaker 3: what they did to you at OutKick, what they what

768
00:43:31,239 --> 00:43:34,040
Speaker 3: they did to Fox News, the Federalists, what they did

769
00:43:34,080 --> 00:43:35,960
Speaker 3: the Daily Wire, Ben Shapiro. We had been Shapiro w

770
00:43:35,960 --> 00:43:37,879
Speaker 3: in a testified about a month and a half ago,

771
00:43:38,160 --> 00:43:42,879
Speaker 3: and as a result of that that hearing group them

772
00:43:42,920 --> 00:43:45,120
Speaker 3: the Big advertised they fired their guy. This is all

773
00:43:45,160 --> 00:43:47,120
Speaker 3: part of this garm and everything else is going on.

774
00:43:47,400 --> 00:43:49,880
Speaker 3: So yeah, this is so much bigger. But as you

775
00:43:49,920 --> 00:43:53,200
Speaker 3: point out, the mainstream the big media doesn't really want

776
00:43:53,200 --> 00:43:53,480
Speaker 3: to cover.

777
00:43:54,120 --> 00:43:56,239
Speaker 1: You're doing the Lord's work here. It's truly incredible to

778
00:43:56,239 --> 00:43:58,160
Speaker 1: see it all stacked together and how important it is

779
00:43:58,160 --> 00:44:01,919
Speaker 1: to fight the censorship and ustrial complex inside of big tech.

780
00:44:02,360 --> 00:44:05,440
Speaker 1: You talked to President Trump all the time. How often

781
00:44:05,520 --> 00:44:07,319
Speaker 1: I know you know JD. Vance well because he's from

782
00:44:07,320 --> 00:44:11,080
Speaker 1: Ohio where you are a congressman. How optimistic are you

783
00:44:11,160 --> 00:44:13,200
Speaker 1: about what you are seeing as we get close to

784
00:44:13,280 --> 00:44:16,120
Speaker 1: Labor Day weekend and the official kickoff in many ways

785
00:44:16,200 --> 00:44:19,120
Speaker 1: of the election season. What do you expect to see?

786
00:44:19,160 --> 00:44:21,240
Speaker 1: What is the president telling you? What should our audience

787
00:44:21,320 --> 00:44:24,120
Speaker 1: know based on your overview of the election?

788
00:44:24,880 --> 00:44:26,520
Speaker 3: Look, I listened to you and I and I actually

789
00:44:26,520 --> 00:44:28,839
Speaker 3: I think you you've nailed it. I'm optimistic like you are.

790
00:44:28,920 --> 00:44:31,640
Speaker 3: I think it is EBC, you know, economy, border crime.

791
00:44:31,719 --> 00:44:35,400
Speaker 3: I think I think we're now getting past the PEP rally's.

792
00:44:35,560 --> 00:44:37,440
Speaker 3: She and Tim Walls are going to do uh the

793
00:44:37,480 --> 00:44:39,600
Speaker 3: Vice President Tim Wal's are going to do an interview. Uh,

794
00:44:39,600 --> 00:44:42,840
Speaker 3: They're they're uh, they're going to have debates. You know

795
00:44:42,920 --> 00:44:45,080
Speaker 3: that there's a big difference between playing the game and

796
00:44:45,880 --> 00:44:48,200
Speaker 3: having the PEP rally. I know at the pep rally

797
00:44:48,200 --> 00:44:50,400
Speaker 3: everyone's undefeated, But you've got to when we get to

798
00:44:50,440 --> 00:44:53,279
Speaker 3: the facts. Think about it. In four years time, we

799
00:44:53,320 --> 00:44:55,520
Speaker 3: went from a secure border to no border. They just

800
00:44:55,520 --> 00:44:57,959
Speaker 3: made the borders are their nominee. We went from safe

801
00:44:58,000 --> 00:45:00,120
Speaker 3: streets to record crime. They made the lady who was saying,

802
00:45:00,160 --> 00:45:02,480
Speaker 3: let's bail out the riders in twenty twenty, they made

803
00:45:02,560 --> 00:45:05,040
Speaker 3: her the nominee with from two dollars gas to four

804
00:45:05,080 --> 00:45:07,040
Speaker 3: dollar gas. They made the person who said I'm against

805
00:45:07,080 --> 00:45:10,160
Speaker 3: cracking as their nominee, and we went from stable prices

806
00:45:10,200 --> 00:45:12,000
Speaker 3: to record inflation. And the lady who was.

807
00:45:12,000 --> 00:45:12,279
Speaker 4: For the.

808
00:45:14,040 --> 00:45:17,000
Speaker 3: Inflation so called Inflation Reduction Act, which actually called and

809
00:45:17,160 --> 00:45:20,880
Speaker 3: caused inflation, voted for that. So that's their nominee. You

810
00:45:20,920 --> 00:45:24,000
Speaker 3: can't run from the facts and the issues, and at

811
00:45:24,000 --> 00:45:26,440
Speaker 3: some point we're going to get to that. I think

812
00:45:26,440 --> 00:45:29,400
Speaker 3: it'll probably start as a debate on the tent, but

813
00:45:29,520 --> 00:45:32,319
Speaker 3: I feel good about it. And the polling numbers, while

814
00:45:32,360 --> 00:45:35,040
Speaker 3: they're close in the seven swing states, they're much better

815
00:45:35,080 --> 00:45:38,320
Speaker 3: now than they were with Biden and McClinton. So I

816
00:45:39,000 --> 00:45:40,880
Speaker 3: feel good. I feel like the country is going to say, no,

817
00:45:40,960 --> 00:45:42,520
Speaker 3: we want to go back to the good policies we

818
00:45:42,600 --> 00:45:44,000
Speaker 3: had under President Trump.

819
00:45:44,480 --> 00:45:46,640
Speaker 1: Congressman, keep up the good work. LOOK forward to meeting

820
00:45:46,640 --> 00:45:49,000
Speaker 1: with you in person again at some point, and anytime

821
00:45:49,040 --> 00:45:50,120
Speaker 1: you want to come on, just let us know.

822
00:45:50,840 --> 00:45:53,120
Speaker 3: All right, thanks, I take care, guys, we'll.

823
00:45:53,040 --> 00:45:56,520
Speaker 1: Do That's Congressman Jim Jordan of Ohio really doing incredible

824
00:45:56,560 --> 00:45:59,000
Speaker 1: work as it pertains to the impact of big tech

825
00:45:59,040 --> 00:46:02,440
Speaker 1: censorship and more. The letter that Mark Zuckerberg wrote addressed

826
00:46:02,480 --> 00:46:05,400
Speaker 1: to him seismic and importance that we have spent a

827
00:46:05,440 --> 00:46:07,200
Speaker 1: lot of time talking on. It would not have happened

828
00:46:07,200 --> 00:46:09,000
Speaker 1: without the work of he as committee and his staff.

829
00:46:09,360 --> 00:46:12,040
Speaker 1: Look right now, it's the end of summer. I am

830
00:46:12,080 --> 00:46:15,080
Speaker 1: headed down on Friday evening to go to the beach,

831
00:46:15,600 --> 00:46:19,040
Speaker 1: last trip to the beach with my family before the

832
00:46:19,160 --> 00:46:22,560
Speaker 1: fall officially gets underway. You're gonna take a bunch of pictures,

833
00:46:22,560 --> 00:46:24,879
Speaker 1: probably gonna relive a lot of memories we've been having

834
00:46:24,920 --> 00:46:26,359
Speaker 1: with our family. I've bet a lot of you are

835
00:46:26,360 --> 00:46:27,759
Speaker 1: going to do the same. As you get ready for

836
00:46:27,800 --> 00:46:30,080
Speaker 1: this Labor Day weekend. You're gonna go out to the lake.

837
00:46:30,080 --> 00:46:32,359
Speaker 1: You're gonna have barbecues. You're gonna hang out with your friends,

838
00:46:32,440 --> 00:46:35,200
Speaker 1: your family, people that you hold and cherish the most.

839
00:46:35,640 --> 00:46:37,080
Speaker 1: How many times have you done that in the past,

840
00:46:37,200 --> 00:46:39,279
Speaker 1: and how many of those memories that you created on

841
00:46:39,400 --> 00:46:42,160
Speaker 1: those days the end of summer during the course of

842
00:46:42,200 --> 00:46:46,640
Speaker 1: the summer are old photos, old family VHS tapes, old reels,

843
00:46:46,920 --> 00:46:50,320
Speaker 1: now's the time to preserve those forever in a digital fashion.

844
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845
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846
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Speaker 1: over the years, these guys do a phenomenal job of

847
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850
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Speaker 1: entertainment in your family's future and just preserving your family's

851
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854
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855
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858
00:47:44,600 --> 00:47:47,759
Speaker 1: Ali has already read it and said it was fantastic.

859
00:47:47,840 --> 00:47:49,920
Speaker 1: And I said this earlier in the show, but my

860
00:47:50,040 --> 00:47:52,560
Speaker 1: mother in law has been visiting us. I had the

861
00:47:52,560 --> 00:47:54,759
Speaker 1: book sent to me by her publisher, sitting on a

862
00:47:55,200 --> 00:47:57,719
Speaker 1: table here in our living room. My mother in law

863
00:47:57,760 --> 00:47:59,799
Speaker 1: picked it up, she started reading it, and she took

864
00:47:59,840 --> 00:48:03,480
Speaker 1: it home with her yesterday, Kat because she is enjoying it.

865
00:48:03,560 --> 00:48:07,120
Speaker 1: So boom, there you go. You've got two satisfied customers

866
00:48:07,160 --> 00:48:08,880
Speaker 1: in the audience that we know of already.

867
00:48:09,719 --> 00:48:11,800
Speaker 4: Okay, I love that. I also glad to help you

868
00:48:11,840 --> 00:48:12,920
Speaker 4: out with your mother in law.

869
00:48:13,400 --> 00:48:15,760
Speaker 1: Well I need all the help. Id it is. Actually

870
00:48:16,239 --> 00:48:18,120
Speaker 1: you've been married for a little I'm curious what your

871
00:48:18,120 --> 00:48:20,160
Speaker 1: in laws think about you. My mother in law used

872
00:48:20,200 --> 00:48:22,560
Speaker 1: to hate me. Now I think she likes me more

873
00:48:22,600 --> 00:48:25,320
Speaker 1: than she likes her actual daughter, which has produced tension

874
00:48:25,360 --> 00:48:27,839
Speaker 1: for my wife, because I mean, let's be honest, When

875
00:48:27,880 --> 00:48:29,520
Speaker 1: your own mother in law likes you more than she

876
00:48:29,600 --> 00:48:31,399
Speaker 1: likes her daughter, it's just a sign of how much

877
00:48:31,440 --> 00:48:31,960
Speaker 1: i've risen.

878
00:48:33,120 --> 00:48:36,040
Speaker 4: Oh that is that would create some massive tension. And

879
00:48:36,200 --> 00:48:38,640
Speaker 4: for me, I mean, my mother in law actually knew

880
00:48:38,640 --> 00:48:39,239
Speaker 4: who I was.

881
00:48:40,320 --> 00:48:43,279
Speaker 1: Oh that's interesting. So did she like you because you

882
00:48:43,320 --> 00:48:45,680
Speaker 1: had a public profile? Okay, that's good.

883
00:48:46,040 --> 00:48:48,239
Speaker 4: She did, Which is you know that could have gone

884
00:48:48,360 --> 00:48:49,280
Speaker 4: one of two ways?

885
00:48:49,320 --> 00:48:49,919
Speaker 1: Oh, no doubt.

886
00:48:51,760 --> 00:48:53,920
Speaker 4: So I got definitely very very lucky.

887
00:48:54,400 --> 00:48:57,640
Speaker 1: Yeah, that's like I was gonna say, my in law,

888
00:48:57,760 --> 00:49:02,040
Speaker 1: my mom was out at the dog Parkers and then

889
00:49:02,280 --> 00:49:03,879
Speaker 1: was talking about what her son did, and the guy

890
00:49:04,000 --> 00:49:07,040
Speaker 1: was a listener but didn't know what I did, and

891
00:49:07,160 --> 00:49:09,520
Speaker 1: he said nice things about us, but he didn't know

892
00:49:09,560 --> 00:49:11,319
Speaker 1: what I did yet, And I was like, Mom, that

893
00:49:11,440 --> 00:49:13,520
Speaker 1: was lucky for you, because he could have been like, man,

894
00:49:13,560 --> 00:49:15,439
Speaker 1: you know who I really hate media is that Clay

895
00:49:15,440 --> 00:49:18,680
Speaker 1: Travis guy. So it's interesting because you have all sorts

896
00:49:18,680 --> 00:49:20,759
Speaker 1: of people who have opinions when you're in media. They

897
00:49:20,800 --> 00:49:23,560
Speaker 1: don't know you one on one and they could hate you,

898
00:49:23,680 --> 00:49:25,520
Speaker 1: and then they meet you and they're like, oh, I

899
00:49:25,640 --> 00:49:26,479
Speaker 1: really like this person.

900
00:49:26,560 --> 00:49:26,719
Speaker 3: Right.

901
00:49:26,719 --> 00:49:28,200
Speaker 1: That's kind of the world we live in now.

902
00:49:29,000 --> 00:49:30,920
Speaker 4: Yeah, And that's kind of what the book's about, right.

903
00:49:31,040 --> 00:49:35,040
Speaker 4: It's about how people will take some single opinion of

904
00:49:35,400 --> 00:49:39,680
Speaker 4: someone's or just even an assumption about somebody. I get

905
00:49:39,680 --> 00:49:41,439
Speaker 4: it for sure, like oh, you work at you work

906
00:49:41,440 --> 00:49:43,879
Speaker 4: at Fox News, therefore this must mean this is true.

907
00:49:43,920 --> 00:49:45,279
Speaker 4: This is true, this is true, this is true, this

908
00:49:45,360 --> 00:49:48,160
Speaker 4: is true, and it's just not accurate. And we have

909
00:49:48,280 --> 00:49:52,520
Speaker 4: these wrong assumptions about each other all the time, and

910
00:49:52,760 --> 00:49:55,040
Speaker 4: it's we're really losing out on a lot I think,

911
00:49:55,080 --> 00:49:58,120
Speaker 4: I mean, meaningful relationships, but also kind of opportunities to

912
00:49:58,200 --> 00:50:02,080
Speaker 4: collaborate with each other, and you know, the people in

913
00:50:02,160 --> 00:50:05,080
Speaker 4: power over us and the government and politicians works it

914
00:50:05,120 --> 00:50:07,200
Speaker 4: works out great for them because the more divided we are,

915
00:50:07,440 --> 00:50:10,320
Speaker 4: the more easy it is them to gain power and control.

916
00:50:10,640 --> 00:50:12,080
Speaker 1: No doubt. And by the way, you live in New

917
00:50:12,120 --> 00:50:15,600
Speaker 1: York City and you work for Fox News, so you

918
00:50:15,680 --> 00:50:19,760
Speaker 1: probably get that incongruous nature, as our producer Ali does,

919
00:50:20,239 --> 00:50:23,000
Speaker 1: of being a woman who I presume doesn't think Trump

920
00:50:23,040 --> 00:50:25,640
Speaker 1: is the worst human being who's ever lived. And you're young,

921
00:50:25,800 --> 00:50:28,640
Speaker 1: and you're out and about, but you probably find that

922
00:50:28,680 --> 00:50:31,040
Speaker 1: you like a lot of the people in New York

923
00:50:31,080 --> 00:50:34,239
Speaker 1: who might think that your political opinions are dastardly and

924
00:50:34,320 --> 00:50:36,600
Speaker 1: vice versa. Right like, you can still get along.

925
00:50:37,440 --> 00:50:39,840
Speaker 4: Yes, And what's interesting about me is for some people,

926
00:50:39,960 --> 00:50:42,480
Speaker 4: I mean it's because I work at Fox, I don't

927
00:50:42,520 --> 00:50:44,319
Speaker 4: think Trump is the worst human in the world. I'm

928
00:50:44,360 --> 00:50:47,080
Speaker 4: not also a Trump person. I'm am an independent. It's

929
00:50:47,120 --> 00:50:52,000
Speaker 4: not I just I'm not a Republican, right, But that

930
00:50:52,120 --> 00:50:54,560
Speaker 4: could be enough to just not think that he is

931
00:50:55,239 --> 00:50:58,319
Speaker 4: the worst thing ever and would destroy life as we

932
00:50:58,360 --> 00:51:00,200
Speaker 4: know it. We'd all be living in bunkers if you

933
00:51:00,200 --> 00:51:03,799
Speaker 4: were to be elected not believing that will cause some

934
00:51:03,880 --> 00:51:04,839
Speaker 4: people to write you off.

935
00:51:04,960 --> 00:51:06,360
Speaker 1: That's enough one there, or.

936
00:51:06,719 --> 00:51:09,920
Speaker 4: Or simply working at Fox, regardless of what you actually

937
00:51:10,040 --> 00:51:12,400
Speaker 4: are saying on the platform or what you're doing in

938
00:51:12,440 --> 00:51:16,600
Speaker 4: the building. It's truly insane. People have asked me what

939
00:51:16,640 --> 00:51:18,759
Speaker 4: do you do and I was like, oh, no, thank you.

940
00:51:19,239 --> 00:51:21,759
Speaker 4: I don't want to get into it because I don't

941
00:51:21,960 --> 00:51:25,000
Speaker 4: because then you've ruined my time at the party. I

942
00:51:25,000 --> 00:51:27,040
Speaker 4: can no longer have fun at the party. I need

943
00:51:27,080 --> 00:51:30,000
Speaker 4: to you know, I'm being interrogated about where I work,

944
00:51:30,040 --> 00:51:32,439
Speaker 4: which is the place that I've worked for over nine

945
00:51:32,480 --> 00:51:34,960
Speaker 4: years now, and I've had a wonderful experience at Fox,

946
00:51:35,360 --> 00:51:37,440
Speaker 4: and it's a place that you've never even been, and

947
00:51:37,480 --> 00:51:40,040
Speaker 4: you think there that you somehow know more about it

948
00:51:40,080 --> 00:51:40,400
Speaker 4: than I do.

949
00:51:41,000 --> 00:51:44,040
Speaker 1: We're talking to Kat Tim. I'm curious for you, what

950
00:51:44,560 --> 00:51:48,440
Speaker 1: is the difference between being on television daily and writing

951
00:51:48,480 --> 00:51:51,719
Speaker 1: a book from a media perspective, and which do you

952
00:51:51,800 --> 00:51:53,120
Speaker 1: find that you enjoy more.

953
00:51:54,400 --> 00:51:57,280
Speaker 4: I honestly think I am a better writer than anything else.

954
00:51:57,440 --> 00:51:59,520
Speaker 4: I started out as a writer. I got on TV

955
00:51:59,680 --> 00:52:03,920
Speaker 4: because I was a writer. I love writing, and I

956
00:52:04,000 --> 00:52:07,040
Speaker 4: really I'm very proud of this book. I think it's

957
00:52:07,080 --> 00:52:10,080
Speaker 4: even better than the last book. And this is almost

958
00:52:10,080 --> 00:52:12,319
Speaker 4: like the scary part when I get to talk about it,

959
00:52:12,360 --> 00:52:13,960
Speaker 4: because it's like, am I doing it right? You know

960
00:52:14,000 --> 00:52:15,720
Speaker 4: what I mean? I want people to read this book.

961
00:52:17,400 --> 00:52:19,680
Speaker 4: The writing is honestly my favorite part.

962
00:52:19,880 --> 00:52:23,160
Speaker 1: Probably I'm with you because I came into radio and

963
00:52:23,239 --> 00:52:27,280
Speaker 1: TV through writing, and to me, there is nothing better

964
00:52:27,719 --> 00:52:30,040
Speaker 1: than sitting down in front of a blank screen and

965
00:52:30,120 --> 00:52:34,560
Speaker 1: having complete control. Whereas everything else, whether it's radio or TV,

966
00:52:34,880 --> 00:52:36,759
Speaker 1: there are a lot of other moving parts and there's

967
00:52:36,800 --> 00:52:39,799
Speaker 1: aspects that you don't have any control over. I love

968
00:52:39,840 --> 00:52:43,759
Speaker 1: writing because I'm ultimately responsible for every single word, and

969
00:52:43,840 --> 00:52:46,440
Speaker 1: I want that responsibility. Is that makes sense. I don't

970
00:52:46,440 --> 00:52:48,600
Speaker 1: know if you feel the same way, but if I

971
00:52:48,640 --> 00:52:51,120
Speaker 1: had to give up everything else, and I could, one

972
00:52:51,120 --> 00:52:53,040
Speaker 1: of the challenges is you typically don't make as much

973
00:52:53,040 --> 00:52:55,040
Speaker 1: money as you can writing as you can from radio

974
00:52:55,080 --> 00:52:57,920
Speaker 1: and TV. But it's my favorite of the three.

975
00:52:58,200 --> 00:53:00,840
Speaker 4: Yeah, it absolutely is my favorite of the three. Although

976
00:53:01,440 --> 00:53:04,080
Speaker 4: it's a little harder for me now because I'm pregnant

977
00:53:04,080 --> 00:53:06,600
Speaker 4: and I can't have any nicotine gum. But I still

978
00:53:06,640 --> 00:53:07,960
Speaker 4: would say, right, Hank.

979
00:53:08,880 --> 00:53:09,719
Speaker 1: What does your baby do?

980
00:53:10,840 --> 00:53:11,480
Speaker 4: February?

981
00:53:12,280 --> 00:53:13,080
Speaker 1: You no boy, girl?

982
00:53:13,160 --> 00:53:15,960
Speaker 4: Yet I don't, so I'm not gonna find out. My

983
00:53:16,040 --> 00:53:17,840
Speaker 4: doctor knows, but I want to be surprised.

984
00:53:18,400 --> 00:53:21,360
Speaker 1: Okay, So what has surprised you so you're gonna be

985
00:53:21,400 --> 00:53:24,080
Speaker 1: due in February. I've got three kids. Obviously I'm not

986
00:53:24,120 --> 00:53:26,759
Speaker 1: a Democrat, so I didn't claim to carry them. But

987
00:53:27,480 --> 00:53:30,200
Speaker 1: what has surprised you the most about being pregnant so far?

988
00:53:31,600 --> 00:53:34,920
Speaker 4: So honestly, I thought that I would be more anxious,

989
00:53:34,960 --> 00:53:37,880
Speaker 4: and I am terrified. Don't get me wrong, I'm very nervous,

990
00:53:38,239 --> 00:53:41,680
Speaker 4: but also just in general, I am too tired to

991
00:53:41,719 --> 00:53:44,960
Speaker 4: be as anxious as I thought I would be. Also,

992
00:53:45,160 --> 00:53:47,520
Speaker 4: just I mean, the amount of things that change, it's

993
00:53:47,600 --> 00:53:50,680
Speaker 4: really hard. I've always heard it was hard to be pregnant,

994
00:53:50,680 --> 00:53:52,360
Speaker 4: and I was like, oh, that looks so hard. But

995
00:53:52,920 --> 00:53:54,919
Speaker 4: you know, it's your biby is my body doesn't belong

996
00:53:54,960 --> 00:53:57,160
Speaker 4: to me anymore. Like there's certain medication I can't take

997
00:53:57,200 --> 00:53:59,920
Speaker 4: that I you know, would need my skin is a

998
00:54:00,160 --> 00:54:03,200
Speaker 4: mask all this other stuff. But I'm but I'm not

999
00:54:03,360 --> 00:54:06,480
Speaker 4: even considering for a second. You know, oh, maybe I

1000
00:54:06,480 --> 00:54:08,880
Speaker 4: could take this medici. You know, the baby is the

1001
00:54:08,920 --> 00:54:11,000
Speaker 4: most important thing in the world to me, and I've

1002
00:54:11,040 --> 00:54:13,640
Speaker 4: not even met the baby yet, so it's kind of crazy.

1003
00:54:13,719 --> 00:54:16,279
Speaker 1: It's crazy. It's crazy to get to go and see

1004
00:54:16,320 --> 00:54:18,440
Speaker 1: the baby as it's developing. And I got to do

1005
00:54:18,480 --> 00:54:20,080
Speaker 1: it three times. By the way the book I should

1006
00:54:20,120 --> 00:54:23,040
Speaker 1: say this is I used to like you until how

1007
00:54:23,080 --> 00:54:28,920
Speaker 1: binary thinking divides this. So also, in addition to being pregnant,

1008
00:54:29,560 --> 00:54:33,120
Speaker 1: you are on television daily. What's it like to be

1009
00:54:33,200 --> 00:54:36,680
Speaker 1: a public figure who is pregnant on television and how

1010
00:54:36,719 --> 00:54:39,560
Speaker 1: do people respond in general to you as you go

1011
00:54:39,680 --> 00:54:40,040
Speaker 1: through that?

1012
00:54:41,360 --> 00:54:43,440
Speaker 4: It has been very weird. I had to I started

1013
00:54:43,480 --> 00:54:46,799
Speaker 4: showing actually a little bit early, and I really had

1014
00:54:46,800 --> 00:54:48,279
Speaker 4: to do the show sucking in and I was kind

1015
00:54:48,280 --> 00:54:50,200
Speaker 4: of hiding it and wearing certain things, but some people

1016
00:54:50,239 --> 00:54:52,800
Speaker 4: could tell. Some people were kind of tweeting and saying,

1017
00:54:53,200 --> 00:54:55,680
Speaker 4: is Kat pregnant or is she just getting fat? Stuff

1018
00:54:55,719 --> 00:55:00,160
Speaker 4: like that, like, oh, okay, cool kind of both but okay,

1019
00:55:01,120 --> 00:55:03,640
Speaker 4: So I eventually said something, And you know, I'm somebody

1020
00:55:03,640 --> 00:55:05,319
Speaker 4: who had gotten guff from people for a while for

1021
00:55:05,360 --> 00:55:07,440
Speaker 4: not having kids, like it's selfish and of kids whatever,

1022
00:55:07,440 --> 00:55:11,000
Speaker 4: blah blah blah blah, And then I now am pregnant,

1023
00:55:11,040 --> 00:55:12,919
Speaker 4: and then there's some people will be like, why don't

1024
00:55:12,920 --> 00:55:14,520
Speaker 4: you just shut up about being pregnant, and it's like,

1025
00:55:14,520 --> 00:55:17,880
Speaker 4: you're never gonna please everybody. It's weird to do anything

1026
00:55:17,920 --> 00:55:19,480
Speaker 4: in the public eye. This is weird to do in

1027
00:55:19,480 --> 00:55:21,359
Speaker 4: the public eye. But for me, it's one of those

1028
00:55:21,360 --> 00:55:24,440
Speaker 4: things where it's like life is so monotonous and it

1029
00:55:24,480 --> 00:55:27,960
Speaker 4: can be sad and it can be boring. I am experienced,

1030
00:55:27,960 --> 00:55:29,440
Speaker 4: you know. I know that I'm about the first person

1031
00:55:29,480 --> 00:55:31,279
Speaker 4: ever to be pregnant, but I am this is the

1032
00:55:31,320 --> 00:55:34,120
Speaker 4: first time I've ever been pregnant, and I'm having this

1033
00:55:34,280 --> 00:55:37,720
Speaker 4: experience of wonderment and joy and a renewed lease on life.

1034
00:55:37,760 --> 00:55:39,120
Speaker 4: So it's like, you let me have that.

1035
00:55:39,280 --> 00:55:44,120
Speaker 1: Guys, you went to hill you went to Hillsdale College,

1036
00:55:44,120 --> 00:55:48,520
Speaker 1: which is a big advertiser on this program. I'm curious,

1037
00:55:48,840 --> 00:55:50,879
Speaker 1: what's your fan and I saw you when you made

1038
00:55:50,880 --> 00:55:54,200
Speaker 1: the announcement. I think you were in the Detroit Tiger's shirt,

1039
00:55:54,239 --> 00:55:56,400
Speaker 1: which is probably the I think I tweeted the biggest

1040
00:55:56,400 --> 00:55:58,680
Speaker 1: win that somebody in the Detroit Tiger's shirt has had

1041
00:55:58,719 --> 00:56:01,560
Speaker 1: for a long time. What was Hillsdale like for you,

1042
00:56:02,000 --> 00:56:05,440
Speaker 1: and what's the family reaction like in Michigan to the

1043
00:56:05,520 --> 00:56:06,680
Speaker 1: idea of you being a mom?

1044
00:56:07,800 --> 00:56:10,520
Speaker 4: Yeah, hills Hill was a great experience for me. I mean,

1045
00:56:11,080 --> 00:56:13,880
Speaker 4: I had a full tuition scholarship there, which is a

1046
00:56:14,040 --> 00:56:16,719
Speaker 4: major reason why I went. But I had I think

1047
00:56:16,719 --> 00:56:18,719
Speaker 4: I'm a better writer because of Hillsdale, because I had

1048
00:56:18,719 --> 00:56:21,359
Speaker 4: the actual attention from professors to sign as a human

1049
00:56:21,400 --> 00:56:23,759
Speaker 4: being out as a number. I had to sit down

1050
00:56:23,800 --> 00:56:25,680
Speaker 4: and work with them, and you know, even having to

1051
00:56:25,680 --> 00:56:28,920
Speaker 4: take a constitution class, Like, I'm shocked how little people

1052
00:56:28,960 --> 00:56:33,520
Speaker 4: know about the Constitution. Yeah, as the average person. And

1053
00:56:33,680 --> 00:56:35,600
Speaker 4: my family's thrilled. So this is my dad, this is

1054
00:56:36,160 --> 00:56:39,759
Speaker 4: the first grand kid. So everybody's very, very excited, and

1055
00:56:39,920 --> 00:56:41,560
Speaker 4: I am very excited.

1056
00:56:42,320 --> 00:56:46,120
Speaker 1: So you are willing to change your mind as data

1057
00:56:46,360 --> 00:56:49,200
Speaker 1: is presented to you. I think we have that in common.

1058
00:56:50,000 --> 00:56:53,360
Speaker 1: I had Nate Silver on earlier, and Nate Silver is

1059
00:56:53,360 --> 00:56:57,600
Speaker 1: a data and analytics guy. What do you think the

1060
00:56:57,600 --> 00:57:01,000
Speaker 1: world would look like if more people were willing to

1061
00:57:01,160 --> 00:57:04,919
Speaker 1: change their opinions based on data? How much better would

1062
00:57:04,960 --> 00:57:07,040
Speaker 1: it be? Would it be? Like? What do you think

1063
00:57:07,080 --> 00:57:09,439
Speaker 1: the world would look like? Because Nate said he thinks

1064
00:57:09,480 --> 00:57:12,360
Speaker 1: about five percent of the population, maybe ten percent, is

1065
00:57:12,400 --> 00:57:16,280
Speaker 1: actually willing to re examine their prior opinions based on

1066
00:57:16,360 --> 00:57:19,600
Speaker 1: new data. How many people do you think are and

1067
00:57:19,640 --> 00:57:21,640
Speaker 1: what would the world look like if more were willing

1068
00:57:21,680 --> 00:57:22,120
Speaker 1: to do it.

1069
00:57:23,280 --> 00:57:25,440
Speaker 4: I think most people don't even want to expose themselves

1070
00:57:25,440 --> 00:57:28,440
Speaker 4: to data that they might make them rethink things. I

1071
00:57:28,440 --> 00:57:30,320
Speaker 4: think the world will be a lot better. But there

1072
00:57:30,360 --> 00:57:32,760
Speaker 4: would also need to be something else that was required,

1073
00:57:33,320 --> 00:57:36,520
Speaker 4: which would be for you to be allowed to change

1074
00:57:36,520 --> 00:57:38,920
Speaker 4: your mind, because I think these days people kind of

1075
00:57:38,920 --> 00:57:40,600
Speaker 4: put you in a box and you kind of stay there,

1076
00:57:40,800 --> 00:57:43,920
Speaker 4: or if you make a single mistake, then that mistake

1077
00:57:44,000 --> 00:57:46,040
Speaker 4: defines you. You're not allowed to kind of grow and change.

1078
00:57:46,040 --> 00:57:48,280
Speaker 4: I meant people getting in trouble for things they said

1079
00:57:48,280 --> 00:57:50,480
Speaker 4: when they were teenagers and they're getting in trouble for

1080
00:57:50,480 --> 00:57:52,960
Speaker 4: it like ten fifteen years later. I mean, I don't

1081
00:57:52,960 --> 00:57:54,360
Speaker 4: know about you. When I was a teenager, I was

1082
00:57:54,360 --> 00:57:57,800
Speaker 4: an idiot. I think we all were right. So I

1083
00:57:57,840 --> 00:57:59,960
Speaker 4: think that that would be something that would be required

1084
00:58:00,120 --> 00:58:03,200
Speaker 4: as well, because I think a lot of people aren't

1085
00:58:03,280 --> 00:58:05,840
Speaker 4: motivated to want to change their minds because if they do,

1086
00:58:05,920 --> 00:58:07,160
Speaker 4: it doesn't even matter anyway.

1087
00:58:08,120 --> 00:58:11,880
Speaker 1: The book is I used to like you until how

1088
00:58:11,880 --> 00:58:15,120
Speaker 1: binary thinking divides this? Kat Temp, You're on Gutfeld pretty

1089
00:58:15,160 --> 00:58:17,760
Speaker 1: much every night, A ton Yes, What do you think

1090
00:58:17,760 --> 00:58:21,880
Speaker 1: people would be surprised about to know about the Gutfeld Show,

1091
00:58:21,920 --> 00:58:25,760
Speaker 1: which now is the most watched late night television show,

1092
00:58:25,840 --> 00:58:28,720
Speaker 1: more than Kimmel, more than I can't even keep up

1093
00:58:28,760 --> 00:58:31,200
Speaker 1: with all of them, more than Jimmy Fallon, more than

1094
00:58:31,200 --> 00:58:34,160
Speaker 1: whoever the late night guys are on a Stephen Colbert,

1095
00:58:34,440 --> 00:58:36,320
Speaker 1: what do you think people will be surprised about the show.

1096
00:58:36,320 --> 00:58:38,880
Speaker 1: What has surprised you about doing daily television on a

1097
00:58:38,920 --> 00:58:40,040
Speaker 1: successful show like that.

1098
00:58:41,560 --> 00:58:43,280
Speaker 4: I mean, I just I would say, probably just how

1099
00:58:43,400 --> 00:58:46,600
Speaker 4: kind of relaxed and comfortable it is, and how much

1100
00:58:46,640 --> 00:58:48,840
Speaker 4: we all really do get along. I think I don't

1101
00:58:48,840 --> 00:58:51,160
Speaker 4: know if that would surprise people are not, but I

1102
00:58:51,240 --> 00:58:53,840
Speaker 4: really feel so comfortable on the show to express whatever

1103
00:58:53,840 --> 00:58:56,480
Speaker 4: it is I want to say, and even if it's

1104
00:58:56,480 --> 00:58:59,760
Speaker 4: obviously different sometimes from what Greg thinks. I think I'm

1105
00:58:59,760 --> 00:59:01,600
Speaker 4: really really lucky to have that. I think there's a

1106
00:59:01,600 --> 00:59:04,600
Speaker 4: lot of people in media who do work places or

1107
00:59:04,840 --> 00:59:07,600
Speaker 4: have you know, in environment where they feel like they

1108
00:59:07,640 --> 00:59:09,680
Speaker 4: can't say what they really think, or they're even outright

1109
00:59:09,720 --> 00:59:11,520
Speaker 4: told hey, I know you might think this, but you

1110
00:59:11,600 --> 00:59:14,880
Speaker 4: can't say it. I've never been told that once. I

1111
00:59:14,880 --> 00:59:16,840
Speaker 4: know some people think that I have a script or writers,

1112
00:59:16,840 --> 00:59:21,280
Speaker 4: which I also don't have. So it's really.

1113
00:59:21,000 --> 00:59:24,800
Speaker 1: I think that's important too, because I do Fox News

1114
00:59:24,800 --> 00:59:27,280
Speaker 1: and I've done gutfel with you in done Fox News

1115
00:59:27,360 --> 00:59:31,040
Speaker 1: over time. Nobody obviously, I think people understand tells me

1116
00:59:31,080 --> 00:59:33,560
Speaker 1: anything I can or can't say on radio. They never have.

1117
00:59:34,080 --> 00:59:37,640
Speaker 1: But I've never experienced anybody at Fox News telling me, hey,

1118
00:59:37,720 --> 00:59:40,560
Speaker 1: you can't say this, And I think that's super important.

1119
00:59:40,760 --> 00:59:42,680
Speaker 1: I think it comes through on your show. But you

1120
00:59:42,680 --> 00:59:44,680
Speaker 1: said you've been at Fox News for nine years. I

1121
00:59:44,680 --> 00:59:47,160
Speaker 1: imagine that freedom has been there for you throughout too.

1122
00:59:48,200 --> 00:59:50,960
Speaker 4: It has. I've never wanted to say something but then

1123
00:59:51,000 --> 00:59:53,680
Speaker 4: told that I can't say it from Fox. So I

1124
00:59:53,720 --> 00:59:56,160
Speaker 4: think that that is very something. I'm very, very, very

1125
00:59:56,240 --> 00:59:57,800
Speaker 4: very I don't take that for granted at all.

1126
00:59:58,440 --> 01:00:01,160
Speaker 1: Kat, you're a best selling author. Can congratulations on the

1127
01:00:01,360 --> 01:00:03,800
Speaker 1: upcoming baby in February. Thanks for making the time with

1128
01:00:03,880 --> 01:00:06,520
Speaker 1: us today. Encourage people to go check out the brand

1129
01:00:06,560 --> 01:00:08,840
Speaker 1: new book. I used to like you until have fun

1130
01:00:08,840 --> 01:00:09,360
Speaker 1: on the tour.

1131
01:00:10,320 --> 01:00:10,760
Speaker 4: Thank you.

1132
01:00:11,880 --> 01:00:14,520
Speaker 1: She's Kat temp best selling author Gutfeld. You'll see here

1133
01:00:14,600 --> 01:00:17,360
Speaker 1: probably later tonight, certainly in the days and weeks ahead,

1134
01:00:17,920 --> 01:00:20,160
Speaker 1: and producer Ali says it's a fabulous book and you

1135
01:00:20,160 --> 01:00:22,400
Speaker 1: should go read it. And she says it's going to

1136
01:00:22,440 --> 01:00:24,520
Speaker 1: be really well received by many of you. So there

1137
01:00:24,520 --> 01:00:28,040
Speaker 1: you go, perfect endorsement. And Kat is having a baby,

1138
01:00:29,480 --> 01:00:31,360
Speaker 1: and many of you may be out there about to

1139
01:00:31,400 --> 01:00:35,200
Speaker 1: have kids or grandkids, and maybe that means you're going

1140
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Speaker 1: to need a little bit more energy because let me

1141
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Speaker 1: tell you, I had three boys and there's a lot

1142
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Speaker 1: of chasing them around involved. I'm going to be at

1143
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Speaker 1: a football game later tonight, and I'm gonna be at

1144
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Speaker 1: a soccer match, and we're traveling this weekend, and it's

1145
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Speaker 1: just a zoo every day. If you have young kids,

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Speaker 1: and if you're a grandfather or grandmother, maybe you're out

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